School of Medicine
Showing 1-100 of 184 Results
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Muhammad Abdelbasset Muhammad Ahmad
Postdoctoral Scholar, Infectious Diseases
BioPostdoctoral fellow, Department of Medicine, Stanford University (2022– Present).
PhD, Duke-National University of Singapore (2017 – 2021).
MSc, Faculty of Pharmacy, Cairo University (2014 – 2016).
BSc, Faculty of Pharmacy, Cairo University (2007 – 2012). -
Maryam Amirahmadi
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Maryam Amirahmadi is a microsurgery expert and postdoctoral research fellow at Stanford Cardiovascular Institute. She obtained her Doctor of Medicine (MD) degree from Hamadan University of Medical Sciences. After more than a year of experience as a Family and Emergency Physician, she spent around 4 years at the Department of Cardiovascular Surgery of Shiraz University of Medical Sciences where she served as a pediatric and adult Cardiac Intensive Care physician and received training in cardiovascular surgery at Namazi and Faghihi hospitals. She then spent a year in the Department of Vascular Surgery at the University of Miami, Miller School of Medicine, serving as a postdoctoral researcher and performing microsurgery on animals, with her research focused on therapeutic strategies to improve neovascularization after limb ischemia. Dr. Amirahmadi joined Stanford Cardiovascular Institute in 2022 where she is now a postdoctoral research fellow under the supervision of Prof. Philip S. Tsao, a renowned cardiovascular scientist. Her research interests and practical expertise include Microsurgery, and the effect of e-cigarette vaping on factors of inflammatory or immune pathways that can subsequently be related to the molecular mechanisms involved in angiogenesis and arteriogenesis in the murine model of hindlimb ischemia, as well as the mechanisms of e-cigarette and nicotine’s effects in augmenting Abdominal Aortic Aneurysm (AAA) in rodent models of aortic aneurysm, including porcine pancreatic elastase-induced AAA. Dr. Maryam Amirahmadi and her colleagues are currently investigating the transgenerational effects of vaping/nicotine on abdominal aortic aneurysm (AAA) risk.
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Florian Bach
Postdoctoral Scholar, Infectious Diseases
BioI'm a molecular infection biologist by training, but shifted my focus from pathogens to hosts for my graduate research. During my PhD with Phil Spence in Edinburgh I studied both falciparum and vivax malaria using controlled human (re)infection models, collaborating closely with the groups of Simon Draper and Angela Minassian in Oxford. As a hybrid bioinformatician and experimentalist, I love systems immunology for answering complex questions about human health. For my postdoc, I study in how the human immune response to malaria evolves in infants as they become reinfected and age. I'm also interested in how such early-life immunological events, malaria and beyond, may affect vaccine responses and immune development later in life. I address this question by making use of a longitudinal study cohort of infants receiving monthly chemoprevention in Eastern Uganda, together with our collaborators at UC San Francisco and IDRC Uganda.
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Adrian Matias Bacong
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsAdrian M. Bacong, PhD, MPH is a social epidemiologist by training. His research seeks to identify social and structural factors that underlie health inequities by race, ethnicity, and immigration status. Specifically, his work has explored the role of socioeconomic factors in explaining health disparities by immigrant legal status and visa type. Furthermore, Adrian is interested in the effects of immigration on health. He received a NIH F31 award (1F31MD015931-01A1) to examine factors affecting the health of Filipino migrants to the U.S. compared to Filipinos remaining in the Philippines.
Adrian has also examined the intersections of race, ethnicity, and immigration status among older adults. Finally, Adrian written upon the role of data disaggregation as a method of public health critical race praxis. Currently, Adrian is researching the role of social and policy level factors underlying health disparities among immigrants. -
Cameron Scott Bader
Postdoctoral Scholar, Bone Marrow Transplantation
BioMy research is focused on using preclinical models to develop novel therapies which improve outcomes for patients receiving allogeneic hematopoietic stem cell transplantation. Currently, my work aims to establish strategies to reduce the risk of relapse after allogeneic hematopoietic stem cell transplantation without exacerbating graft-versus-host disease or interfering with donor stem cell engraftment.
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Xiangqi Bai
Postdoctoral Scholar, Oncology
BioMy research is focused on computational and systems biology. My primary research interest lies in developing new computational algorithms and statistical methods for the analysis of complex data in biological systems, especially related to the large-scale single-cell RNA sequencing data. The specific topics I have examined include:
1. Integration of single-cell multi-omics datasets for tumor
2. Statistical test of cell developmental trajectories
3. Visualization and reconstruction of single-cell RNA sequencing data
4. Computational analysis of the bifurcating event revealed by dynamical network biomarker methods -
Vasiliki (Vicky) Bikia
Postdoctoral Scholar, Biomedical Informatics
BioDr. Vasiliki Bikia is a Postdoctoral Researcher at Stanford University, jointly affiliated with the Institute for Human-Centered Artificial Intelligence (HAI) and the Department of Biomedical Data Science, where she works under the mentorship of Prof. Roxana Daneshjou. She holds an Advanced Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH), Greece (2017), and a Ph.D. in Biomedical Engineering from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland (2021). Her doctoral work focused on addressing the clinical need for non-invasive cardiovascular monitoring by combining machine learning with physics-based numerical modeling.
Dr. Bikia's research centers on the development of large multimodal models to improve patient outcome prediction. She is also passionate about building patient-facing chatbots that help individuals better understand complex medical information, ultimately aiming to enhance communication and empower patients in their care journey. Moreover, she has contributed to the Stanford Spezi framework, designing and prototyping the Spezi Data Pipeline tool for enhanced digital health data accessibility and analysis workflows. -
Pauline Brochet
Postdoctoral Scholar, Cardiovascular Medicine
BioPauline Brochet is a French scientist from Souraide, France. She completed her undergraduate studies in Molecular, Cellular and Physiological Biology (BSc, Université Clermont-Auvergne) and earned a Master's degree in Software Development and Data Analysis (MSc, Aix-Marseille Université). Pauline pursued a PhD at TAGC (Theories and Approaches for Genomic Complexity) in Marseille, France.
Under the supervision of Dr. Christophe Chevillard and Dr. Lionel Spinelli, Pauline integrated multi-omics data from human heart tissue to investigate the pathogenic processes associated with Chagas Disease Cardiomyopathy (CCC). Notably, she contributed to the development of ChagasDB, the first database associating key features with the different stages of Chagas disease. Her research identified the involvement of mitochondrial DNA mutations, non-coding RNA, transcription factors, and DNA methylation in various pathogenic processes, all leading to the progression of CCC.
Currently, at Stanford University, under the guidance of Dr. Matthew Wheeler and Dr. Daniel Katz, Pauline is conducting postdoctoral research on multi-omics data analysis as part of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). Her work focuses on identifying key covariable features associated with physical exercise, with the ultimate goal of discovering exercise-mimetic drugs that could help prevent heart diseases. -
Paulami Chatterjee
Postdoctoral Scholar, Pulmonary and Critical Care Medicine
Current Research and Scholarly InterestsMy research involves studying the pathogenic mechanisms underlying the host-pathogen interaction in pulmonary diseases. I am particularly interested in exploring transcriptomic and proteomic changes in Cystic Fibrosis and Asthma patients who develop severe allergic inflammation due to fungal hypersensitivity. Complete understanding of these interaction will help us identify significant fungal virulence factors and help us define clinically relevant targets for therapeutic use.
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Tianqi Chen
Postdoctoral Scholar, Oncology
BioMy research interest lies in liquid biopsy and early cancer diagnostics, e.g. development of bioassay for detection of cancer biomarkers (proteins and genes) and single-cell research. As well as the integration of 3D-printed microfluidics.
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Ya'el Courtney
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Ya’el Courtney is a postdoctoral scholar in Immunology and Rheumatology in the Department of Medicine at Stanford University, working with Dr. William H. Robinson. Her research focuses on uncovering the mechanisms underlying post-acute sequelae following viral and bacterial infection. Dr. Courtney earned her PhD from Harvard University, where she investigated the role of the choroid plexus in brain development and its response to maternal psychedelic exposure. Beyond research, she is passionate about science communication and mentoring the next generation of scientists.
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Hejie Cui
Postdoctoral Scholar, Biomedical Informatics
BioDr. Hejie Cui is a postdoctoral researcher at the Stanford Center for Biomedical Informatics Research at Stanford University. Her research focuses on the intersection of machine learning, data mining, and biomedical informatics. At Stanford, Dr. Cui works on large language model (LLM) evaluation and post-training for healthcare. Dr. Cui has authored and co-authored several publications in top computer science and interdisciplinary venues, including NeurIPS, KDD, AAAI, CIKM, TMI, and MICCAI. Her work contributes to advancing the application of artificial intelligence in healthcare and improving the understanding of complex biomedical data. Dr. Cui was selected as a Rising Star in EECS in 2023. She has also received numerous awards, including the Fellowship of 2021 CRA-WP Grad Cohort for Women, Student Travel Grant Award for MICCAI'22, NSF Travel Grant for CIKM'22, and NeurIPS AI4Science Travel Award for NeurIPS'22. Dr. Cui holds a Ph.D. in Computer Science from Emory University (2024) and a B.Eng. in Computer Science and Engineering from Tongji University (2019). During her graduate studies, she gained industry experience through internships at Microsoft Research and Amazon Science.
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Ali Etemadi
Postdoctoral Scholar, Nephrology
Current Research and Scholarly InterestsI am a clinician and data scientist focusing on drawing causal inferences from observational data when randomized controlled trials are not feasible. Currently, my work centers on patients with late-stage chronic kidney disease, a rapidly growing population for which evidence is limited due to their frequent exclusion from RCTs. At the moment, I aim to move towards precision medicine approaches to optimize outcomes for these patients.
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Sonia Ferkel
Postdoctoral Scholar, Gastroenterology
Bio08/2023 - Present: Postdoctoral Scholar - Precision Medicine, Spatial-Omic Technologies - Stanford University
2023: Preclinical Research Trainee - Translational Molecular Sciences - Max Planck-Institute for Multidisciplinary Sciences Göttingen, Germany
2021 - 2022: Clinical Intern - Focus on Oncology and Gastroenterology - University Medical Center Göttingen, Germany -
Priya Fielding-Singh
Postdoctoral Scholar, SCRDP/ Heart Disease Prevention
BioI am a Sociologist and Postdoctoral Fellow in Cardiovascular Disease Prevention at the Stanford Prevention Research Center. My research examines health, gender, and social inequality.
My primary research agenda investigates health disparities across class, race, and gender in the United States. I draw on both qualitative and quantitative methods to understand how neighborhoods, schools, and families shape our health behaviors and outcomes. My work has been published in journals such as Social Science & Medicine, Obesity, Sociological Science, and the Journal of Adolescent Health.
I hold a Ph.D. in Sociology from Stanford University, a M.A. in Anthropology from the University of Bremen, and a B.S. in Education and Social Policy from Northwestern University. -
Joshua Gillard
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection) in order to discover molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is focused on applying deep learning models to investigate aberrant splicing in cardiovascular disease.
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Ethan Goh, MD, MS
Postdoctoral Scholar, General Internal Medicine
BioDr. Ethan Goh is an experienced healthcare executive with a background in informatics, digital health transformation, and strategic innovation. His research at Stanford focuses on leading multi-site, grant-funded evaluation of Large Language Model applications within healthcare. As a cited healthcare AI expert, Dr. Goh's work has been featured in The New York Times, The Washington Post, and other leading publications.
Prior to academic research, he was an Internal Medicine clinician, startup founder, and technology consultant, working with partners like Google, OpenAI, Roche, Samsung, and the NHS in the development, validation and commercialization of digital health products and AI technology. He holds a medical degree from Imperial College London, and a Masters in Clinical Informatics and Management from Stanford University. -
François Grolleau
Postdoctoral Scholar, Biomedical Informatics
BioFrançois Grolleau MD, MPH, PhD is a Postdoctoral Scholar at the Stanford Center for Biomedical Informatics Research. His research work centers on developing and evaluating computational systems that use large language models and other advanced methods from statistics and machine learning to assist medical decision-making.
François is a certified Anesthesiologist and Critical Care Medicine specialist from France. He holds an MPH degree and a PhD in Biostatistics from Paris Cité University. In 2016/2017, he worked as a research fellow in the Department of Health Research Methods, Evidence, and Impact at McMaster University, Canada (Profs Yannick Le Manach and Gordon Guyatt). During his doctorate with Prof. Raphaël Porcher, he utilized causal inference, personalized medicine methods, and statistical reinforcement learning for medical applications in the ICU. -
Richard Haarburger
Postdoctoral Scholar, General Internal Medicine
BioRichard Haarburger is a postdoctoral scholar in general medicine with a background in economics. During his PhD, he worked on addressing measurement biases and data gaps, handling high-dimensional data, and quantifying the implications of heterogeneous technology adoption. During his time as a scientific trainee at the Joint Research Centre of the European Commission, he conducted policy research on Europe's competitiveness in industrial automation technologies and the increasing adoption of AI in manufacturing.
At Stanford, he applies causal inference methods to research questions in population health and epidemiology. His research interests include impact evaluation methods, causal machine learning, and the impact of AI on healthcare and the economy. -
Elizabeth Holman
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsI currently explore the application of vibrational spectroscopic technologies for biomedical imaging and precision medicine for clinical use. My research interests are directly related to chemical imaging technology development, which include but are not limited to spectral and image processing and analysis, machine learning applications, autonomous adaptive data acquisition, and vibrational spectroscopic applications to the biomedical sciences.
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Zepeng Huo
Postdoctoral Scholar, Biomedical Informatics
BioConducting research on Foundation Models for medicine
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Hirotaka Ieki
Postdoctoral Scholar, Cardiovascular Medicine
BioCardiologist in Japan.
Research interest: precision medicine in cardiovascular disease. Genomics, Exposomics. -
Mathangi Janakiraman
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsAs a postdoctoral scholar, I am studying the gut ecosystem, gut functionality nad neuroimmune interactions during aging and age-associated diseases like AD, and the role of fermented food in modulating gut health. I expect to be able to show that dietary modifications can help with healthy aging and to contribute to possibly leveraging dietary interventions therapeutically in age-associated diseases.
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Vishnu Priya Kanakaveti
Postdoctoral Scholar, Oncology
Current Research and Scholarly InterestsI am interested in elucidating molecular mechanisms of MYC-driven drug resistance and immune evasion in cancer using computational and experimental models.
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Abraar Karan, MD MS MPH DTM&H
Postdoctoral Medical Fellow, Infectious Diseases
Fellow in Medicine - Med/Infectious DiseasesBioI am an infectious disease fellow and post-doctoral researcher in the Division of Infectious Diseases and Geographic Medicine, the Luby Lab, the Center for Innovation in Global Health, the King Center on Global Development, and the Woods Institute for the Environment. I worked on the Covid19 outbreak for the Massachusetts Department of Public Health in 2020, and the Monkeypox outbreak for the Los Angeles County Department of Public Health in 2022-23. I also served on the WHO-commissioned Independent Panel on Pandemic Preparedness and Response's research team investigating early global spread of Covid19, and helped with policy-writing for the Biden-Harris campaign on reducing Covid19 in schools. I am currently the Principal Investigator of the following studies: a cluster-randomized controlled trial investigating whether air filtration and ventilation can reduce spread of Covid19 in low-income homes in the Bay Area (https://clinicaltrials.gov/ct2/show/NCT05777720); piloting a low-cost rural surveillance system for detecting spillover of zoonotic diseases in Western Kenya. I am also a co-investigator on a study focused on surveillance of H5N1 in humans in Central California.
I completed my internal medicine residency at the Brigham and Women's Hospital/Harvard Medical School in the Global Health Equity program, and have been working in global health since 2008. I co-edited the book, "Protecting the Health of the Poor" (December 2015, Bloomsbury Publishing, https://www.bloomsbury.com/us/protecting-the-health-of-the-poor-9781783605521/); and co-founded Longsleeve insect repellent, winner of the 2018 Harvard Business School New Venture Competition and finalist in the 2019 Harvard President's Challenge. Media/press coverage has included NBC, ABC, BBC, PBS, CBS, CNN, MSNBC, Fox News, Washington Post, New York Times, SF Chronicle, Bloomberg, Boston Globe, ProPublica, WSJ, TIME, Politico, CBC News, Democracy Now, NPR, ESPN, The Atlantic, The Hill, Business Insider, Vice, Mother Jones, Vox, Forbes, Slate, STAT News, MTV News, Mother Jones, Science Friday, TMZ.
For a full list of publications, please see "Publications" tab. For full list of press/media interviews, please see "Media" link.
Teaching Experience:
Teaching Assistant-- Epi 231, Infectious Disease Epidemiology (Winter 2024)
Teaching Assistant-- Epi 237, Practical Approaches to Global Health Research (Autumn 2024)
Teaching Assistant-- Epi 231, Infectious Disease Epidemiology (Winter 2025) -
Arash Keshavarzi
Postdoctoral Scholar, Cardiovascular Medicine
BioArash Keshavarzi, PhD, has a background in Molecular Biology and AI drug discovery, with experience bridging AI and biotechnology. He used to be the CSO of Nucleus Genomics, a company that has raised over $30 million in funding from prominent investors including Founders Fund. He is the Co-founder of Lumos Bio, a UCSF spin-off focused on pioneering RNA-targeting cancer therapeutics, and also a co-founder of Entelligent.ai, driving innovation in AI driven intelligence. Additionally, Arash is actively involved in venture capital and investment as an Investment Fellow at Mubadala Capital, where he builds investment thesis, sources deals, and helps both biotech and AI teams. His career uniquely blends deep scientific expertise, entrepreneurial acumen, and strategic investment insights.
He has published over 10 academic papers in AI Therapeutics fields
He has published two book chapter in AI medicine
He has two patents in AI for small molecule drug discovery, one approved, one pending -
Pik Fang Kho
Postdoctoral Scholar, Cardiovascular Medicine
BioI obtained my PhD in genetic epidemiology at Queensland University of Technology (Australia), where my research was focused on using genetic and genomic approaches to identify risk factors for endometrial cancer. During my graduate studies, I gained experience in large-scale genetic association studies and leveraging the correlation between diseases in genetic studies to identify novel genetic variants associated with endometrial cancer. I also developed expertise in various statistical genetic approaches in multi-omics data, including fine-mapping and colocalization analyses, to prioritize candidate causal variants and genes. I also gained extensive experience in genetic causal inference analysis to infer causality between risk factors and health outcomes.
My research focus since moving to Stanford has been the identification of genetic and non-genetic determinants of cardiometabolic diseases. I am currently involved in projects including large-scale genetic association studies, multi-trait analysis with correlated traits, development and validation of polygenic risk scores, integrative analyses with multi-omics data, as well as Mendelian randomization analyses to advance our understanding of the genetic and environmental factors that contribute to cardiometabolic diseases. -
David Kinitz
Postdoctoral Scholar, Nephrology
BioDavid J. Kinitz, PhD, MSW is a social and behavioural health scientist and social worker with a passion for understanding the complex social, political, and economic systems that shape LGBTQ+ mental health and wellbeing. David holds a PhD in Social and Behavioural Health Sciences from the Dalla Lana School of Public Health, University of Toronto, and graduate and undergraduate degrees in social work from York University and Lakehead University, respectively. His work primarily draws on critical qualitative and mixed-methods methodologies to deconstruct systems of oppression, such as racism, cissexism, heterosexism, and classism. He looks at how these systems reinforce social hierarchies that produce ill-health, particularly as they relate to labour market phenomena. David’s doctoral research employed narrative inquiry and Marxist political economy theories to study economic insecurity, precarious employment, and mental health among gay, bisexual, and queer men in Toronto, Canada. David continues this area of scholarship through leading and collaborating on various projects exploring access to social assistance, employment quality, employment skills and training, and economic insecurity among LGBTQ+ people in Canada and the US.
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Qinqin Kong
Postdoctoral Scholar, General Internal Medicine
BioI am currently a Postdoctoral Scholar in the Departments of Medicine and Health Policy at Stanford University, after earning a PhD in atmospheric science from Purdue University. My research interests lie at the intersection of climate change—particularly extreme heat—and human society. I aim to advance our understanding of the physical mechanisms, cascading impacts, and the effectiveness of potential mitigation strategies for human heat stress. My PhD research focused on how land-atmosphere interactions modulate heat stress, as well as the economic and energy impacts of increasing heat stress in the context of climate change. My postdoctoral research at Stanford evaluates the impact of heat stress on public health, especially human fertility, in low- and middle-income countries. My methodological areas of expertise include climate modeling, human biophysics modeling, and econometric modeling, which I am further developing at Stanford.
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Nathalie Lambrecht
Postdoctoral Scholar, General Internal Medicine
Current Research and Scholarly InterestsDr. Lambrecht's research aims to address malnutrition and environmental degradation from two angles: (1) evaluating climate-resilient agricultural strategies to improve global food security, nutrition, and health, and (2) assessing approaches to promote consumption of healthy and sustainable diets.
Climate-resilient agriculture for human health: Across various countries in Sub-Saharan Africa and South Asia, Dr. Lambrecht investigates small-scale crop and livestock agroecology as a win-win strategy to benefit human nutrition, the environment, and households’ resilience to climate change. Her current work aims to understand whether integrated crop-livestock rearing can buffer the potential negative impacts of climate shocks on children's growth in Ethiopia, Tanzania, Malawi, and Uganda. During her PhD, Dr. Lambrecht examined linkages between household livestock ownership and anemia in children in southern Ghana, investigating the hypothesis that rearing livestock could alleviate anemia by providing a source of micronutrient-rich animal-source foods, yet could also exacerbate anemia by exposing children to zoonotic pathogens. Dr. Lambrecht has also worked on a large-scale homestead food production trial in Bangladesh, examining impacts on agricultural production, and children's and women's diets and health.
Healthy and sustainable diets: Shifting diets towards sustainable and healthy plant-forward dietary patterns is essential for mitigating climate change, reducing biodiversity loss and habitat destruction, and reducing non-communicable chronic diseases. Dr. Lambrecht is a lead researcher of the NURISHD (NURsing home and hospital food service – Implementation of Healthy and Sustainable Diets) study. This research project examines the environmental footprint and nutritional quality of food service in German healthcare institutions and evaluates the feasibility of shifting dietary patterns toward the Planetary Health Diet. -
Max Lamparth
Postdoctoral Scholar, Infectious Diseases
BioMax is a postdoctoral fellow at the Center for International Security and Cooperation, the Stanford Center for AI Safety, the Stanford Existential Risks Initiative, and the Brainstorm Lab at the Department of Psychiatry and Behavioral Sciences at Stanford University. He is advised by Prof. Clark Barrett, Prof. Steve Luby, and Prof. Paul Edwards.
With his research, he wants to make AI systems more secure and safe to use. Specifically, he is focussing on improving the ethical behavior of language models, making their inner workings more interpretable, and increasing their robustness against misuse.
Max received his Ph.D. in August 2023 from the School of Natural Sciences at the Technical University of Munich and previously a B.Sc. and M.Sc. in Physics from the Ruprecht Karl University of Heidelberg. -
Eric Leslie
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsTranslational research of exercise responses to improve human health and sport performance. Current research emphasizes multi-omic and accelerometry data analysis to characterize the molecular and applied responses to exercise training as well as the biological profiles of elite athletes.
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Hector Rodrigo Mendez
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Hector Rodrigo Mendez is a Medical Geneticist from Argentina. Rodrigo completed a residency program in Medical Genetics at Centro Nacional de Genetica Medica – ANLIS (Buenos Aires, Argentina) and a Master’s program in Medical Molecular Biology at Buenos Aires University.
Rodrigo continued his scientific career at a German Genomic Start-up, working as a human geneticist and providing his experience in rare disorders, genomic data (WGS/WES/gene panels) analysis, variant interpretation, and its integration with a deep focus on genotype-phenotype correlation.
Rodrigo’s areas of expertise are rare disorders, NGS technology, Whole Genome Sequencing analysis, and ACMG interpretation guidelines, and his research aims are:
- Collection and analysis of clinical data through deep-learning phenotyping approaches.
- Multi-omic data integration to elucidate complex and rare genetic disorders.
- Drive progress in curing rare genetic diseases, particularly among critically sick infants.
At Stanford University, under the supervision of Dr. Matthew Wheeler, he is conducting his postdoctoral research studies to achieve his scientific goals. -
Yimam Misganie
Postdoctoral Scholar, Infectious Diseases
Current Research and Scholarly InterestsDr. Misganie's research focuses on AI-driven analysis of complex datasets, particularly in viral infections like HIV drug resistance (HIVDR). He use AI and machine learning to understand viral dynamics, drug resistance mechanisms, and treatment outcomes. His work integrates big data and genomic data to inform public health strategies. He also study viral molecular epidemiology using whole-genome sequencing and apply NLP techniques to enhance research in global health.
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Samuel Montalvo Hernandez
Postdoctoral Scholar, Cardiovascular Medicine
BioAs a clinical exercise physiologist and sport biomechanist, I am dedicated to advancing human exercise and sports performance. I hold certifications as a Performance and Sport Scientist (CPSS) and as a Strength and Conditioning Specialist with Distinction (CSCS, *D) from the National Strength and Conditioning Association (NSCA). In 2022, I was honored with the Wu Tsai Human Performance Alliance Post-Doctoral Research Fellowship and a T32 Post-Doctoral Fellowship, Research Training in Myocardial Biology (TIMBS) at Stanford University.
My research focuses on understanding the mechanical, molecular, and physiological mechanisms that underpin human performance. I am also committed to developing innovative and practical training methods to enhance exercise and sports performance. Currently, I am a member of the Stanford Bioinformatics Core, contributing to the NIH-funded Molecular Transducers of Physical Activity Consortium (MoTrPAC) project. In this capacity, I analyze extensive clinical and exercise datasets, as well as multi-omic, multi-tissue, multi-exercise modality, and multi-species data, to uncover new insights into the biological mechanisms of physical activity and its impact on human health and performance.
In addition to my primary research focus, I collaborate with several teams at Stanford on projects involving Sports and Electrocardiography, Cardiopulmonary Exercise Testing, Exercise and Neuromuscular Disease, and the Stanford Baseball Team.
Beyond research, I am deeply committed to teaching and mentoring. As a first-generation college graduate and a Mexican-American with Indigenous heritage, I bring a unique perspective to my work, which informs my dedication to creating supportive and inclusive spaces for underrepresented groups in science and education. I serve as a Post-Doc Mentoring Coach in collaboration with the Stanford Office of Postdoctoral Affairs, where I facilitate bi-weekly workshops on mentoring for postdocs. I am also part of the Stanford PRISM program, which promotes opportunities for postdoctoral scholars. Furthermore, I mentor prospective and current medical students through the MAVERICs program (Metascience Analyses and Explorations of Reproducibility in Cardiovascular Science) as part of the Stanford Cardiovascular Institute, supporting their growth in cardiovascular research.
These experiences reflect my dedication to fostering an inclusive and supportive academic environment. My long-term goal is to become a professor, combining my passion for research, education, and mentoring the next generation of scientists to advance the fields of exercise physiology, multi-omics, and sports science.
