School of Medicine


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  • Marwa Zafarullah

    Marwa Zafarullah

    Postdoctoral Scholar, Neurology and Neurological Sciences

    BioDr. Marwa Zafarullah is a dedicated neuroscientist with extensive interdisciplinary experience spanning over 8 years in clinical and pre-clinical research. She holds a Ph.D. in Integrative Genetics and Genomics (IGG) from the University of California Davis, focusing on neuroscience, human genetics, and functional genomics. Before joining Stanford, Dr. Zafarullah harnessed the power of molecular biology with advanced technologies to delve into biomarkers related to the prediction, development, progression, and severity of Fragile X Syndrome and associated disorders.

    Dr. Zafarullah's career journey reflects her commitment to advancing scientific knowledge, improving patient care, and positively impacting society through her research and contributions. She thrives in multi-disciplinary teams, aiming to enhance the quality of life for all individuals affected by various neurological conditions. Beyond her professional endeavors, she enjoys communicating complex scientific concepts to diverse audiences. Her continuous pursuit of excellence and her drive to bridge clinical practice and scientific innovation make her a true trailblazer in the field.

  • Aroosa Zamarud, MD

    Aroosa Zamarud, MD

    Postdoctoral Scholar, Radiology

    BioDr. Aroosa Zamarud is a medical doctor who completed her undergraduate education at Bannu Medical College, Khyber Medical University, Pakistan. Following her graduation and a one-year medical internship, she served as a Medical Officer at Zubaida Khaliq Memorial Hospital, Gilgit Baltistan, Pakistan, a charitable institution. During her tenure, she organized medical camps in remote villages in Northern Pakistan, providing healthcare services to underprivileged populations.

    In March 2022, Dr. Zamarud joined the Stanford Neurosurgery department as a Visiting Instructor. Her research primarily focused on Clinical Neurooncology, with a special emphasis on the use of Cyberknife stereotactic radiosurgery as a treatment modality for various benign and malignant brain pathologies, including Vestibular Schwannoma, Sarcoma, Spinal metastases, Meningioma, Pineal and Pituitary metastases, and Arteriovenous malformations.

    Currently, Dr. Zamarud is serving as a postdoctoral fellow in neurointerventional Radiology. Her ongoing research centers on investigating the role of venous outflow in patients with acute ischemic stroke, among other stroke-related studies.

  • Astrid Nicole Zamora

    Astrid Nicole Zamora

    Postdoctoral Scholar, Epidemiology

    BioDr. Astrid N. Zamora is a public health researcher and epidemiologist committed to advancing health equity. Her research combines birth cohort data, formative methods (e.g., interviews, ethnography), and behavioral intervention data to investigate health disparities and develop targeted interventions, focusing on Latino/a populations in the U.S. and Mexico. Dr. Zamora’s work explores how environmental exposures, diet, physical activity, and sleep interact to shape psychosocial and cardiometabolic health across the life course. Dr. Zamora is also actively engaged in public health pedagogy, researching equity-focused teaching practices and strategies for fostering inclusive and equitable learning environments for public health students.

    After earning her MPH at the UC Berkeley School of Public Health, Dr. Zamora completed her PhD at the University of Michigan School of Public Health. Her NIH/NIEHS-funded dissertation examined the impact of endocrine-disrupting chemical exposure on sleep health and metabolic risk among adolescents and peri-menopausal women in Mexico City, focusing on populations at high risk for health inequities. This work contributed to the growing understanding of how environmental factors affect sleep quality and their implications for long-term metabolic health.

    Currently, as a Propel Postdoctoral Scholar at Stanford University School of Medicine, Dr. Zamora is expanding her expertise in randomized controlled trial (RCT) study design and citizen science methodologies. Her work aims to integrate epidemiologic training with community-based research, aligning her scientific agenda with the priorities of the communities she serves. Dr. Zamora’s research seeks to illuminate how diet, sleep, the built environment, and physical activity intersect to influence health outcomes, with the ultimate goal of reducing health disparities and supporting marginalized communities through actionable and equitable public health solutions.

  • Yuyang Zeng

    Yuyang Zeng

    Postdoctoral Scholar, Ophthalmology

    Current Research and Scholarly InterestsTransgenic therapy for glaucoma based on disease-responsive promoters/enhancers

  • Xianghao Zhan

    Xianghao Zhan

    Postdoctoral Scholar, Biomedical Informatics

    BioXianghao Zhan is a postdoctoral researcher at Stanford Department of Biomedical Data Science, working on multi-modal biomedical data fusion, multi-omics analysis and spatial transcriptomics foundation models. He is mentored by Prof. Olivier Gevaert. Previously, he obtained his Ph.D. from Stanford Bioengineering with a Ph.D. minor in Biomeidcal Data Science in June 2024. During his Ph.D. at Stanford, he also obtained his M.S in Bioengineering in 2021 and his M.S in Statistics in 2023 both at Stanford. Before that he got B. Eng. in Control Science and Engineering (Automation) and his B. Art in English Language and Literature with Summa Cum Laude at Chu Kochen Honors College, Zhejiang University, China, in 2019.

    Under the guidance of Prof. Oliver Gevaert and Prof. David B. Camarillo, his PhD research mainly focuses on the optimization of computational modeling of traumatic brain injury with machine learning and animal modeling based on biomechanical and radiological data. His research interests and projects also extend to the data mining of free-text clinical notes with natural language processing, biomedical data fusion for COVID-19 patient outcome prediction, machine learning reliability quantification with conformal prediction, reliability-based semi-supervised learning, and domain adaptation for biomedical sensory systems (with artificial olfaction systems and surface electromyography systems). He has published 21 peer-reviewed articles as a first/co-first author (IF 144.1) in such journals as NPJ Digital Medicine, IEEE Transactions on Biomedical and Health Informatics, IEEE Transactions on Biomedical Engineering, Journal of Sport and Health Science, Journal of Biomechanics, with 5 first-author journal articles under review. He has been a peer reviewer for 24 journals including Annals of Biomedical Engineering, Journal of Neurotrauma, Computer methods in biomechanics and biomedical engineering, Communication Medicine, Scientific Reports.

    In addition to his research, he has two master degrees while pursuing his Ph.D. degree: BIOE 2021 and STATS 2023. He has taken more than 10 data science and machine learning courses at Stanford with course project experiences and technical background with UNet-based image segmentation, BERT, Transformer-XL, DeepSEA, BPNet, VAE/SSVAE, flow model, energy-based model cycle-GAN, CNN-based image classification, LSTM-based clinical event prediction, Bi-LSTM-based neural machine translation, BERT, DCT/DWT/STFT, PCA, DRCA, NFL, convex optimization.

    His research is recognized by the field and he was awarded with IET Postgraduate Research Award for an Outstanding Researcher (one awardee across the globe, first Chinese), Siebel Scholar Class of 2024, IET Healthcare Technology William James Award (one awardee across the globe), Stanford Interdisciplinary Graduate Fellowship (highest honor for interdisciplinary Stanford graduates), Pfeiffer Research Foundation Fellow, AMIA Trainee Award (six awardees, the only Chinese), American Society of Neurotrauma Trainee Award (20 awardees, the only Chinese), Chu Kochen Scholarship (12 undergrad awardees each year), Ten most Preeminent Students of Zhejiang University (10 awardees each year), Chinese National Scholarship (Top 0.2%).

    He is dedicated to support underrepresented minorities. He has been a program leader for Stanford Summer Research Program and mentored 3 undergrads from the underrepresented minorities. He has been a research mentor at Foothill College for two years and mentored latino students from local community college. Additionally, he is a sports fan with 15 Stanford Intramural champions (12 volleyball, 3 tennis) and two medals from regional volleyball tournaments. He enjoys the sport passion and team spirits as a captain.

  • An Ni Zhang

    An Ni Zhang

    Postdoctoral Scholar, Stanford Cancer Institute

    BioAnni obtained her Ph.D. in Dr. James Johnson and Dr. Janel Kopp's labs at the University of British Columbia. Her Ph.D. work showed that hyperinsulinemia contributes to pancreatic cancer development. Her work also showed that insulin directly acted via the insulin receptors in pancreatic acinar cells to increase digestive enzyme production, thereby generating an inflammatory condition that accelerates neoplastic transformation. She is now working at Diehn lab to investigate the mechanisms of KEAP1 mutation-induced immunotherapy resistance in lung cancer.

  • Chongyang Zhang

    Chongyang Zhang

    Postdoctoral Scholar, Cardiology

    BioDr. Zhang is a Postdoctoral Scholar at RabLab in the cardiopulmonary division. She has a PhD in Pharmacology from University of Rochester, NY. She has research in cardiovascular research and chronobiology published in high impact peer-reviewed journals. She is recipient of honors including predoctoral fellowship from AHA, Travel Grant for Early Career Investigators from Council on Arteriosclerosis, Thrombosis, and Vascular Biology. She has served as ad hoc reviewer for more than 40 manuscripts for reputed journals.

  • Lu Zhang

    Lu Zhang

    Postdoctoral Scholar, Endocrinology and Metabolism

    BioLu is a postdoctoral research scholar in Dr. Anna Gloyn's Translational Genomics of Diabetes Lab. During her master's and doctoral studies, she focused on epigenomics and single-cell multi-omics analysis, with an emphasis on 3D genomics. Her research included developing Hi-Tag, a chromatin conformation capture technique designed for use with small cell samples. This method provides valuable insights into the organization of chromatin in the cell. She has built strong expertise in combining different types of biological data, including RNA-seq, ATAC-seq, chromatin interaction data, and single-cell data. She has contributed to several research projects as a co-author, including studies that used genome-wide association studies (GWAS) and GTEX data to connect multi-omics data with functional genomics. These experiences have helped her gain a deep understanding of how to integrate different types of genomic data to solve complex biological problems. Currently, Lu is focused on applying her research skills to diabetes.