School of Medicine
Showing 1-100 of 158 Results
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Amin Sadeghi
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsApplications of artificial intelligence in medicine
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Yann Sakref
Postdoctoral Scholar, General Surgery
BioYann Sakref is a Postdoctoral Scholar in General Surgery at Stanford University, working within the Knowlton Lab. With a passion for interdisciplinary sciences and advancing medical biotechnology and patient care, Yann is developing clinical and AI solutions as part of an ARPA-H-funded project under Dr. Knowlton's supervision. His work focuses on creating computer vision models for surgical assistance and contributing to the collaborative development of innovative tools by working closely with clinical, engineering, and AI teams. He also works closely with collaborators at the S-SPIRE Center.
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Giovanni Marco Saladino
Postdoctoral Scholar, Radiology
BioI am a Postdoctoral Scholar in the Department of Radiology at Stanford University. I graduated in Engineering Physics with a BSc at Politecnico di Milano (Italy) and an MSc at KTH Royal Institute of Technology (Sweden). In 2024, I obtained my PhD in Biological and Biomedical Physics from the Department of Applied Physics at KTH Royal Institute of Technology.
My research interests lie at the intersection of molecular imaging, nanomedicine, and nanomaterials. Specifically, I focus on developing novel contrast agents and exploring advanced imaging techniques. During my PhD studies, I designed hybrid multimodal contrast agents for complementary imaging using X-ray fluorescence computed tomography, magnetic resonance imaging, and optical fluorescence imaging. I am currently involved in investigating theranostic applications of nanomaterials, which hold great promise for personalized medicine and targeted therapies. -
Matteo Santoro Pharm.D., Ph.D.
Postdoctoral Scholar, Pathology
BioDr. Santoro joined Shamloo’s lab in March 2021 focusing his research on Parkinson’s disease, neuronal vulnerability, and identification of therapeutic markers in relation to α-synucleinopathies. Prior to his arrival at Stanford, he held a position as a clinical monitor at Syneos Health where he gained key knowledge needed to translate lab-based findings into clinical and commercial applications. Previously, Dr. Santoro held a postdoctoral position at the University of Aberdeen (Scotland, UK) working on amyloid-beta extracts from Alzheimer’s disease patients. During his postdoctoral research, Dr. Santoro designed and optimized a cost-effective and rapid assay for the measurement of toxic amyloid-beta species in human biofluids. In 2017, he obtained his Ph.D. (4-year program) at the University of Aberdeen on Parkinson’s disease (PD), immunology, and behavior. The major findings Ph.D. findings were the following: 1) the characterization of a small protein called HMGB1 as an inflammatory mediator in PD; 2) the motor and non-motor behavioral characterization of three neurotoxin based mouse models of PD, 3) the characterization of the innate immune response in PD through the toll-like receptor signaling pathways 4) evaluation of the effects of chronic systemic inflammation on both resident and infiltrating immune cells in the CNS. In 2012 Dr. Santoro attained his Pharm.D. in chemistry and pharmaceutical technology (5-year program) at the University of Calabria (Italy) during which he undertook an internship at the King’s College London (SGDP Centre) and worked for over a year on a rat model of stroke.
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Narayan Schutz
Postdoctoral Scholar, Psychiatry
Current Research and Scholarly InterestsI work on using digital health technologies to detect and monitor aging relevant health indicators and outcomes using cutting-edge machine and deep learning approaches, with the goal to make our healthcare system more personalised and proactive.
Current research topics include remote gait and mobility assessments, learning health representations from large-scale smartphone data, and using novel ambient intelligence approaches to foster independent living in older adults. -
Mojtaba Sedigh Fazli
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Mojtaba Fazli is a leading scientist specializing in AI/ML, computer vision, and biomedical research. He is currently a Postdoctoral Research fellow Scientist at Stanford University and a Senior Research Fellow at the Harvard Ophthalmology Artificial Intelligence Lab, Harvard University, where he previously completed a postdoctoral fellowship.
Dr. Fazli's research bridges cutting-edge artificial intelligence with groundbreaking applications in multi-scale biomedical imaging, disease modeling, and drug discovery. His expertise encompasses advanced areas of AI/ML, including computer vision for 2D/3D medical image analysis, bioinformatics, and object tracking in both 2D and 3D environments. He has played a key role in developing state-of-the-art algorithms to enhance diagnostic precision and therapeutic outcomes within the biotechnology and healthcare sectors.
With a strong foundation in both academia and industry, Dr. Fazli previously served as a Senior Open Innovation Scholar at the Novartis Institute for Biomedical Research. There, he applied his expertise in strategic planning, programming, and simulation to tackle complex biomedical challenges.
Dr. Fazli holds a Ph.D. in Computer Science, with a minor in Mathematics, from the United States, as well as a Doctorate in Business Administration from France. His academic journey also includes master’s degrees in Economics and Management, as well as Artificial Intelligence and Robotics. His interdisciplinary approach blends AI-driven innovation with practical, impactful solutions in healthcare.
At Stanford, Dr. Fazli leads research initiatives focused on integrating multimodal data in rheumatology, advancing ultrasound imaging research in Rheumatoid Arthritis, and developing AI methodologies for clinical applications. His current work also involves leveraging Generative AI and Large Language Models (LLMs) to drive innovation in medical data analysis and clinical decision support. -
Benjamin Seiler
Postdoctoral Scholar, Epidemiology
BioBen Seiler is a postdoctoral research fellow in the department of Epidemiology and Population Health at the Stanford School of Medicine, with Mike Baiocchi. He specializes in developing and deploying interpretable statistical learning methods. As part of the Stanford Human Trafficking Data Lab (HTDL), Ben currently works on quantitative approaches to issues of labor trafficking and child labor in Brazil in partnership with their Federal Labor Prosecution Office. As part of the Stanford Regulation, Evaluation, and Governance Lab (RegLab), Ben currently works in partnership with the US Internal Revenue Service to study the use of AI to modernize the system for tax collection. He holds a PhD in Statistics from Stanford University, where he was advised by Art B. Owen. Before Stanford, he earned a BA magna cum laude in physics, economics, and mathematics from Williams College. After completing his BA, he worked as a foreign exchange derivatives trader at Goldman Sachs from 2013 to 2018.
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Yaffa Serur Schwarzman
Postdoctoral Scholar, Psychiatry
BioChildren and Adolescent Psychiatrist
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Zachary Aaron Sexton
Postdoctoral Scholar, Cardiology
BioFocused on understanding cardiovascular physiology, disease, and tissue engineering through stem cell biology and hemodynamics. Specializes in 3D extrusion bioprinting and computational fluid dynamics (though an open-source software platform SimVascular) to improve tissue engineering strategies for the successful development of cardiac tissues for disease modeling and therapeutic solutions.
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Shailja
Postdoctoral Scholar, Radiological Sciences Laboratory
BioDr. Shailja is a Postdoctoral researcher in the Radiological Science Laboratory at Stanford. She recently completed her PhD in Electrical and Computer Engineering at the University of California, Santa Barbara. Her research vision is to model healthcare data for precise diagnostics using AI and to integrate domain knowledge to "close the loop" between surgeons, physicians, and scientists. Her Ph.D. dissertation focused on developing a principled approach to model the white matter pathways in the human brain to analyze the topology of brain connections. At the Radiological Science Laboratory, she primarily focuses on mapping MRI structural and functional connectivity imaging data with electrophysiological measurements in the epilepsy patients.
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Tong Shan
Postdoctoral Scholar, Psychiatry
BioTong completed her Ph.D. at the University of Rochester. She also holds an M.S. in Biostatistics from Northwestern University and a B.S. in Medical Imaging from Sichuan University.
In her research, Tong has explored topics such as subcortical and cortical neural responses to naturalistic speech and music, neural mechanisms underlying musical perception, and the impact of visual cues on speech-in-noise comprehension.
Currently, Tong is involved in the Speaker-Listener projects, where she investigates brain activities related to natural communication. She is excited to deepen her understanding of auditory processing of speech during communication and its implications for improving quality of life, particularly in clinical populations such as individuals with ASD, AD, etc.
Outside of her research, Tong is a music producer, creating original songs and soundtracks for video games. She has a passion for exploring the intersection of art and technology. -
Kat Adams Shannon
Postdoctoral Scholar, Psychology
BioKat studies how young children adapt their attention and learning behaviors to best match different early environments, with particular focus on understanding variability and strengths in contexts of early adversity. A key aim of her research is to create and collaborate on innovative uses of technology and statistical methods to support education and developmental science.
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Disha Sharma
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a computational biologist with more than 12 years of extensive experience aiming to pursue career in developing translational medicine- and healthcare-oriented solutions. I have Ph.D. in bioinformatics with technical expertise for next-generation sequencing assays, genome-wide association studies, bulk and single-cell multi-omics analysis, R, python, shell Scripting, cloud computing, Data structure and algorithms, as well as machine and deep learning algorithms. I have solid background in genomics, transcriptomics, epigenomics and metagenomics. I have worked with both complex and rare genetic disorders performing data analysis, data interpretation, data curation with clinical data and databases.
I am presently a postdoctoral fellow at Stanford University for 4 years now where my main focus is to understand the genetic risks of cardiometabolic diseases using GWAS, integrating modalities including single-cell multiomics, CRISPR perturbation datasets. I am working on building machine learning models and use statistical genetics tools using large biobanks including UKBiobank, AllofUS and MVP. -
Saurabh Sharma
Postdoctoral Scholar, General and Vascular Surgery
Current Research and Scholarly InterestsWe develop strategies to transport immunotherapeutic molecules across the blood-brain barrier for imaging and treating brain metastatic cancer. Currently, under the mentorship of Dr. Amanda Kirane, I have continued my work in cancer-targeted nanotechnology for the treatment of melanoma brain metastases. Immunotherapy of small peptides, small molecules.
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Tanya Sharma
Postdoctoral Scholar, Pathology
BioTanya's interests span across studying G-Protein Coupled Receptors and the biochemistry of membrane proteins. During her doctoral studies, she worked as a visiting researcher at the National Research Council of Canada, Ottawa (Sussex laboratories) from 2019-2023 uncovering the role of an ancient mating receptor Ste3 in microbial pathogenesis and chemotropism. During her current position at Butcher lab, she is using High Performance Computing (HPC) platforms to guide her search for interesting ligand-receptor interactions. This involves using a combination of computation tools, cell based and analytical chemistry techniques for discovery and validation phase respectively.
Outside of science, she is an avid musician and a singer. -
Sushruta Surappa
Postdoctoral Scholar, Radiology
BioSushruta Surappa is a postdoctoral researcher at the Canary Center for Early Cancer Detection at Stanford University. His current research focuses on developing various MEMS-based tools for the separation and capture of extracellular vesicles for medical diagnostics. Sushruta received his MS (‘15) and PhD (‘21) degrees in Mechanical Engineering from Georgia Institute of Technology, where he developed a new class of nonlinear MEMS transducers with applications in wireless power transfer, sensing and energy harvesting. He is passionate about developing low-cost, miniature technologies for medical diagnostics and is a keen proponent of science communication.
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Xiwei She
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Xiwei She is a postdoctoral scholar in the Department of Neurology. He received his B.S. degree in Computer Science from Shanghai Jiao Tong University in 2013, and his M.S. degree in Biomedical Engineering from Zhejiang University in 2016. Worked as a research assistant at the USC Neural Modeling and Interface Laboratory, he received his Ph.D. degree in Biomedical Engineering from the University of Southern California in 2022. After graduation, he joined Stanford University as a postdoctoral scholar at the Pediatric Neurostimulation Laboratory (Baumer Lab) and Wu Tsai Neuroscience Institute.
His research interests are largely directed toward identifying the causal relationship of neurons/brain regions and understanding how information is encoded in neural signals by employing machine learning models. Specifically, his postdoc research focuses on applying machine learning modeling techniques on EEG and TMS-EEG data to better understand the impact of interictal epileptiform discharges (IEDs) on brain activity in children with childhood epilepsy with centrotemporal spikes (CECTS). -
Junming Seraphina Shi
Postdoctoral Scholar, Radiation Biology
BioI am a postdoctoral fellow at Stanford University, jointly mentored by Dr. Mohammad Shahrokh Esfahani and Dr. Md Tauhidul Islam. My research focuses on developing robust statistical machine learning methods for noninvasive, cost-effective cancer diagnostics, with applications in early detection, treatment monitoring, and precision oncology.
I received my Ph.D. from UC Berkeley, where my dissertation centered on advancing biostatistical machine learning approaches for complex biomedical challenges. My work addressed causal inference for continuous treatments, bias and measurement patterns in ICU electronic health records, and deep learning–based biclustering and prediction of cancer-drug responses. Across these projects, I developed interpretable and scalable tools for analyzing high-dimensional, multimodal clinical data.
At Stanford, I continue to build novel statistical learning frameworks tailored to real-world clinical needs—particularly through the analysis of liquid biopsy (cell-free DNA) and cancer imaging data. My current work aims to improve cancer detection and monitoring, with a focus on noninvasive, accessible, and clinically meaningful solutions to pressing challenges in oncology. I enjoy interdisciplinary collaborations and working across fields to drive innovation in biomedical research. Deeply committed to cancer research, I aim to bridge rigorous computational methodology with patient-centered impact by designing tools that are scalable, equitable, and translational. -
Mir S Adil
Postdoctoral Scholar, Cardiology
BioDr. Adil is a Postdoctoral Scholar at RabLab in the cardiopulmonary division. He has a PharmD from Jawaharlal Nehru Technological University Hyderabad (India) and a PhD in Clinical & Experimental Therapeutics from University of Georgia. He has a pre-doctoral experience of three years as a Scientific Writer, Clinical Research Co-ordinator and Clinical Pharmacologist. He has also worked as a Research Pharmacologist at Charlie Norwood VA Medical Center during his PhD. He has served as a Consulting Editor for Dove Medical Press Journals and he has been serving as Editor, Editorial Board Member and Reviewer for several other journals. He has nearly 50 peer-reviewed publications to his name that include book chapters, review and research articles. Besides publications, he has reviewed more than 20 manuscripts for some reputed journals.
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Zahra Shokri Varniab
Postdoctoral Scholar, Radiology
BioZahra Shokri Varniab, MD, studied medicine at Tehran University of Medicine Sciences, Iran, and earned her medical degree in 2020. Her goal in novel cellular and molecular imaging is to develop novel in vivo imaging approaches to visualize, characterize and quantify molecular and cellular processes involved in developing brain tumors. She intends to utilize non-invasive imaging techniques to assess tumor microenvironment to understand their role in cancer, develop a method for determining tumor profiles, and also using brain MR Imaging to assess treatment response. She hopes cancer to be history.
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Mahasish Shome
Postdoctoral Scholar, Genetics
BioDr. Mahasish Shome is interested in understanding the underlying mechanism of disease progression. He uses various omics profiling to identify biomarkers relevant to the disease. He studies antibodies, cytokines, proteins and metabolites profile to decipher the connection of disease with markers. This helps in early diagnosis, understanding disease state and drug/vaccine effectiveness.
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Pilleriin Sikka
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsI strive to understand the phenomenology, dynamics, mechanisms, and impact of subjective experiences that occur across different states of consciousness—from wakefulness to normal sleep and dreaming, to anesthesia dreaming, and to psychedelic experiences. As part of my doctoral research, conducted under the mentorship of Prof. Antti Revonsuo, I investigated the conceptual and methodological challenges in the study of dream experiences, the neural correlates of these experiences, and how dreaming is associated with waking well-being. In 2021, I joined Stanford University as a Postdoctoral Scholar, initially working at the Stanford Psychophysiology Laboratory under the mentorship of James J. Gross. In this role, I expanded my research to explore emotions and emotion regulation across the wake-sleep cycle and to study an oft-overlooked aspect of well-being--peace of mind. Since November 2023, I have been a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative and Pain Medicine, where, under the mentorship of Dr. Boris Heifets, I am investigating transformative experiences, specifically, the mechanisms and therapeutic potential of anesthesia-induced dream states and psychedelic experiences.
Leveraging my unique multidisciplinary background, my goal is to bridge the fields of consciousness research, sleep and dream research, emotion research, and well-being research and draw upon the concepts, theories, and methods from psychology, neuroscience, and (molecular) biology. To this end, I have experience in using diverse methods, including self-reports (development, validation, and use of questionnaires), interviews, ecological momentary assessment (EMA/ESM; diaries), behavioural experiments, natural language processing, sleep monitoring techniques, and electrophysiological (EEG/ERP) recordings, combined with qualitative and quantitative data analysis.
With an overarching goal of conducting research with societal impact, I aspire to: (1) develop innovative diagnostic and prognostic markers of mental health and well-being, and (2) to devise and test interventions scalable for enhancing the mental and physical well-being of communities. -
Benjamin Singer
Member, Maternal & Child Health Research Institute (MCHRI)
BioBen Singer is a postdoctoral scholar with interests in mathematical epidemiology and global public health. Ben's research career began with an internship at the Okinawa Institute of Science and Technology, where he applied quantitative skills he had learnt studying physics at the University of Oxford to the study of nematode locomotion. Ben further pursued quantitative methods in life sciences in the Interdisciplinary Bioscience Doctoral Training Partnership at the University of Oxford, earning a DPhil (PhD equivalent) in mathematical methods for evaluating pandemic risk and control. During these studies he maintained an interest in global public health policy, interning with the UK government's Department for International Development, where he developed models of international COVID-19 vaccine distribution. Ben is now working in Nathan Lo's research group at Stanford, creating infectious disease models informing public health policy for schistosomiasis, hepatitis E, and other infections.
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Gulshan Singh
Postdoctoral Scholar, Gastroenterology
Current Research and Scholarly InterestsMy current research interest is to understand the host-microbial pathways in intestinal inflammation. I am working to explore cellular heterogeneity at single immune cell level in systemic and local regions of the intestine that are associated with different Inflammatory bowel disease conditions.
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Shashi Singh
Postdoctoral Scholar, Radiology
BioAs a postdoctoral scholar at Stanford University's Department of Radiology since 2023, I have the privilege of contributing to Dr. Heike E. Daldrup-Link's laboratory, where my research focuses on clinical and translational molecular imaging. My work is dedicated to the development and application of artificial intelligence algorithms for the automated detection and monitoring of pediatric cancers, including lymphoma and sarcomas, using PET and MRI. This encompasses AI-driven multimodal pediatric lymphoma detection, automating the Deauville score, and predicting post-chemotherapy responses in pediatric osteosarcomas. Additionally, I am investigating the effects of iron-oxide nanoparticles on tumor-associated macrophages in osteosarcoma using MRI. My professional journey in medicine began with two years as a physician in Nepal (2019-2021), where I gained a profound understanding of diverse and complex disease conditions. Subsequently, I served as a research scholar at the Hospital of the University of Pennsylvania (2021-2023), working with PET/CT using various radiotracers across multiple domains, including hematological malignancies, aging, musculoskeletal, neurological, psychiatric, infectious, inflammatory, and cardiovascular diseases. Outside of my professional pursuits, I enjoy exploring local restaurants, going for long drives, hiking, and playing sports such as soccer, cricket, and volleyball. I also love spending time on the beaches.
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Shruti Singh Kakan
Postdoctoral Scholar, Ophthalmology
BioI am a Biomedical Scientist with a Ph.D. in Translational Sciences. I worked with Non-Obese Diabetic (NOD) and NOD derived mice models of autoimmune Sjögren's Disease (SjD) for Biomarker Discovery and investigated disease mechanisms of autoimmune dacryoadenitis in the Lacrimal Glands. Using RNA Sequencing and autoantibody microarrays I validated microRNA biomarkers in human subjects.
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Chun Yin Siu
Postdoctoral Scholar, Psychiatry
BioChunyin Siu (Alex) is a postdoctoral scholar in the Brain Dynamics Lab, led by Prof. Mannish Saggar, at the Stanford University School of Medicine. He specializes in topological data analysis and its application in analyzing neuroimaging data.
He got his PhD degree in Applied Mathematics at Cornell University under the supervision of Prof. Gennady Samorodnitsky. Before that, he got this MPhil. degree in Mathematics at the Chinese University of Hong Kong under the supervision of Prof. Ronald (Lokming) Lui.
