Postdoctoral Fellows
Nasim Bararpour
Postdoctoral Research Fellow, Genetics
University of Lausanne
Department of Biology and Medicine, Toxicology Unit of Forensic Science (UFT) and Hospital University of Legal Medicine (CURML) Geneva-Lausanne, Ph.D.
Research Interests: Metabolomics, Computational analysis and Software development, Multi-Omics and Integrative analysis.
Gireesh Kumar Bogu
Postdoctoral Research Fellow, Genetics
Computational Biology, Ph.D.
Universitat Pompeu Fabra
Research Interest – applying machine learning (especially deep learning) to solve problems that can help understand human health better.
More , working on image data from subjects with Type-2 diabetes, and wearable data from subjects with COVID-19. I am also interested in NLP problems such as interpreting large-scale surveys of disease studies (Ex: Diabetes, COVID-19).
Andrew Brooks
Postdoctoral Reseach Fellow, Genetics
Human Genetics and Microbiomics,Ph.D. Vanderbilt University
Research interests: focuses on the human gut microbiome, involved in multiple multiomic projects investigating how physiological systems through the human body interact across different lifestyles and health states. Research involving wet and dry lab aspects of multiomics analyses, and two coronavirus research projects including handling of positive SARS-COV-2 samples.
Matias Cabruja
Postdoctoral Research Fellow, Genetics
Biological Sciences, Ph.D. National University of Rosario
Research Interest: Mass spectrometry, Lipidomics, Data analysis
Faye Chleilat
Postdoctoral Research Fellow, Genetics
Ph.D.,Nutrition, Genetics and Metabolism,
University of Calgary
Research Interests: Nutrition, Microbiome, Epigenome, Multi-omics, Fertility, Precision Medicine
Alireza Del Farah
Postdoctoral Research Fellow, Genetics
Chemical Engineering, Ph.D.
University of Southern California
Research interests: Precision Health, Wearable Devices, Bioinformatics, Machine Learning, Multi-omics Profiling, Mass Spectrometry, Aging
Bio: Alireza obtained his PhD of Chemical Engineering More from University of Southern California where he studied senescence mechanism in aging and cancer. His research is at the intersection of wearable devices, mass spectrometry, statistics, and data modeling. At Snyder lab he is working on glucose monitoring, sleep tracking, multi-omics profiling and use of machine learning tools to model health and predict deviation from healthy states in people.
Graham Erwin
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy
University of Wisconsin Madison
Research interest: Molecular, chemical, and genome biologist elucidating the functional role of repetitive DNA sequences.
Molecular, chemical, and genome biologist elucidating the functional role of repetitive DNA sequences. This work will guide the design of a new class of therapeutics and diagnostics for human disease.
Peng Gao
Postdoctoral Research Fellow, Genetics
Biogeochemistry, Ph.D.
University of Florida
Research interest: Exposome, Environmental chemistry, Analytical chemistry, Environmental health sciences.
Bio: Dr. Peng Gao is an analytical chemist who was trained in both environmental and biological sciences. More He obtained his B.S. in Chemistry from China Agricultural University in 2013. After that, he went to Case Western Reserve University and earned his M.S. in Chemistry in 2015. After switching his research interest to biogeochemistry, he joined the Soil and Water Sciences Department at the University of Florida to pursue his Ph.D. degree and graduated in August 2019. His research has focused on multidisciplinary areas in environmental chemistry, analytical chemistry, and environmental health sciences. He is currently working on human exposome projects at Stanford University. He has published nearly 30 peer-reviewed articles in several top journals in environmental science. He has peer-reviewed nearly 100 articles for various journals and currently serving as an editorial board member of the Chemosphere.
Ariel Bacaner Ganz
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy
Cornell University
Research interests: Dr. Ariel Ganz is a postdoctoral fellow in the Snyder Lab studying effective strategies for mental health and thriving. Her current research focus is on the biology of depression and depression recovery, as well identifying effective strategies to improve mental and physical well-being. More Dr. Ganz received her PhD in Molecular Nutrition with a focus on Precision Health, nutrigenetics, and vitamin metabolism from Cornell University under the mentorship of Dr. Marie Caudill and Dr. Patrick Stover.
Daniel Gomari
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy
Technical University of Munich (TUM)
Research interests include aging, deep learning, metabolomics, healthspan and lifespan extension.
Joshua Gruber
Instructor, Medicine-Oncology
Clinical Fellow, Residency
Stanford University
Research interests include the molecular biology of breast cancer initiation, the intersection of tumor immunology with cancer growth pathways and the development of molecular tools to interrogate neoplastic tissues.
Bio: Dr. Joshua Gruber is an Instructor of Medicine in the division of Medical Oncology at Stanford University Medical Center. He received his Bachelors of Arts, Summa Cum Laude, in biochemistry and physics from the University of Pennsylvania in 2001. He then graduated from the Medical Scientist Training Program at the University of Pennsylvania where he performed doctoral studies in cancer biology and biochemistry. He completed internship and residency in Internal Medicine at Stanford, then was a Clinical Fellowship in Medical Oncology and also a Postdoctoral Fellow in Genetics at Stanford, working in the laboratory of Michael Snyder on integrative genomics of hereditary breast cancer. He is currently has a clinical focus on treating patients with metastatic breast cancer and triple-negative breast cancer and conducts clinical trials on novel therapeutics for these diseases. His laboratory research interests include the molecular biology of breast cancer initiation, the intersection of tumor immunology with cancer growth pathways and the development of molecular tools to interrogate neoplastic tissues.
Tuhin Guha
Postdoctoral Research Fellow, Genetics
Ph.D., M.S., Microbiology, University of Manitoba, Canada
Dr. Tuhin Guha is a postdoctoral research fellow in the Snyder lab, where he is using highly multiplexed imaging modalities, such as CODEX and Nanostring to understand the precancer/tumor microenvironment from Familial Adenomatous Polyposis (FAP) More patient samples. His doctoral work involved biochemical characterization of DNA cutting enzymes (Meganuclease) and designing ‘on/off’ switch for temporal regulation of ‘molecular scissors’ for efficient genome editing. Previous postdoctoral training involved modified CRISPR-Cas system for increasing the efficiency of gene editing in mammalian cells/Xenopus embryos and alternative gene therapy approach to treat various muscle disorders using the diseased mouse models.
Brian Johnson
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy
University of Pennsylvania
Maya Kasowski
Clinical Instructor, Pathology
Postdoctoral Research Fellow, Pathology
Residency and Pathology Fellowship
Stanford University
Ryan Kellogg
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy,
Eidgenossische Technische Hochschule (ETH Zurich)
Research interest: integrating wearable sensor data with multiomic profiling using biological microsamples. PhD: ETH Zurich, Systems Biology. Photo attached.
Linda (Yu-Ling) Lan
Postdoctoral Research Fellow, Genetics
Ph.D., Immunology
University of Chicago
Research interests: Linda is interested in how immune functions work as a system in response to vaccination/infection. Her current study explores how cardiorespiratory fitness affects immune cell populations, T cell and antibody repertoire diversity, and humoral immune responses post-influenza vaccination.
Brittany Lee
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy,
University of Florida
Research Interests: Metabolomics, Microbiome. Brittany is interested in the interactions and communication between host and microbiome through metabolites and resulting effects on host health.
Hayan Lee
Postdoctoral Research Fellow, Genetics
Computer Science, Ph.D.
State University at Stony Brook, New York
Research interest: developing methods (tools/software) using statistical machine learning and deep learning using clinical data and/or long reads produced by 3rd generation sequencing technology such as PacBio, Moleculo, Oxford Nanopore, etc. This includes de novo genome assembly, single cell, cancer data analysis, time series data analysis and population structure to analyze big data, infer critical factors, predict the future and discover biological importance.
Before Hayan moved to Stanford, she served as a Simons postdoctoral fellow at Joint Genome Institute (JGI). Her Ph.D. dissertation was “Algorithms and Applications in Genome Assembly Using Long Read Sequencing Technology”, advised by Prof. Michael Schatz, Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory (CSHL). Hayan received her Master’s degree from Carnegie Mellon University. The master's degree thesis was published at 70th IEEE Vehicular Technology Conference. Her undergraduate degree with Cum Laude was received at Seoul National University in Korea and she worked for 4 years at AhnLab, Inc., programming Windows kernel-level file system filter driver for V3 anti-virus program.
Liang Liang
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy
Stowers Institute for Medical Research
Research interests: Women’s Health, Maternal and Fetal Health, Pregnancy, Preterm birth, Multi-omics, Longitudinal profiling, Metabolomics, Biomarker discovery
Petra Mamic
Postdoctoral Medical Fellow, Genetics
Harvard Medical School, M.D.
Internal Medicine Residency
Stanford University
Fellowship in Cardiovascular Medicine at Stanford University
Research interest: gut microbiome in cardiovascular disease.
Tim MacKenzie
Postdoctoral Medical Fellow, Genetics
Fellow in Genetics
Chemistry, Ph.D.
Stanford University
David Marciano
Postdoctoral Research Fellow, Genetics
Chemical Biology, Ph.D.
Scripps Research Institute Kellogg School
Research interest: is focused on extracellular vesicle biology and the development of vascular therapies.
Tejaswini Mishra
Postdoctoral Research Fellow, Genetics Project Lead for iPOP, hPOP, and the COVID-19 Wearables Study
Cell and Developmental Biology, Ph.D.
The Pennsylvania State University
Research Interests: Bioinformatics, Precision Health, Precision Medicine, Longitudinal Data, Multi-Omics, Wearables Sensors, Space Biology, Systems Biology.
Bio: Tejaswini’s research interests lie at the intersection of biomedical research, More precision medicine, and bioinformatics. She previously led the Snyder lab arm of the NASA Twins Study, and currently leads the iPOP, hPOP and COVID-19 Wearables studies within the lab. Her work revolves around using longitudinal biomedical data (omics and wearables) to understand physiological variation across individuals, to establish personal healthy molecular profiles, to study individual metabolic dysregulation patterns, and to identify changes associated with lifestyle, illness, and space travel (NASA Twins Study), with the ultimate goal of predicting diseases early and using personalized medicine to manage health.
Emma Monte
Postdoctoral Research Fellow, Genetics
Ph.D., University of California Los Angeles
B.S., University of California Berkeley
Research interests: Cardiovascular disease, genetics, molecular biology, stem cell biology.
Research interests:focuses on multi-omics and epigenomics of aging and rejuvenation at Sebastiano Lab (Institute for Stem Cell Biology and Regenerative Medicine) and Snyder Lab (Department of Genetics).
Bio: Mahdi Moqri, PhD is an NLM Postdoctoral Fellow in Biomedical Informatics as well as an academic graduate student at Stanford. He served as an Assistant Professor of Information Systems at Iowa State University, developing large-scale machine learning models for predicting patients’ outcomes, before joining Stanford.
Michael Nshanian
Ph.D., Biochemistry, Molecular & Structural Biology, University of California, Los Angeles
Research interest: Histone epigenetics, chromatin biology, integrated multi-omics. Specifically, understanding the regulatory effects of short-chain acyl-lysine histone modifications and their effect on chromatin structure and gene expression.
Daniel Panyard
Postdoctoral Research Fellow, Genetics
Ph.D., Epidemiology, University of Wisconsin-Madison
Research interests: Molecular epidemiology, complex disease, genomics, metabolomics, proteomics, statistics, bioinformatics
Heyjun Park
Postdoctoral Research Fellow, Genetics
Nutritional Sciences, Ph.D, Cornell University (Minors: Genomics, Epidemiology)
Clinical Dietetic Internship, University of California, San Francisco Medical Center, RD
- Research interests:
- Impact of diet and sleep on onset and progression of type 2 diabetes using wearable technologies
- Chrono-nutrition profiles of individuals at risk for type 2 diabetes
- Identification of data-driven dietary patterns of people and their effects on multi-omics profiles. - Heyjun More believes that lifestyle factors such as diet and sleep are strong predictors of onset and progression of chronic diseases along with genetic predisposition. Therefore, her primary research goals are to discover novel molecular markers of chronic diseases by analyzing diet and sleep patterns of the individuals at risk or with chronic diseases; and to develop personalized recommendations to optimize health. Heyjun is a biomedical scientist with her PhD in nutritional sciences at Cornell University; she has expertise in nutrition, physiology, molecular biology, genetics, and epidemiology. She is also a registered dietitian with clinical dietetic training at the UCSF Medical Center before joining the Snyder lab.
Jeniffer Quijada
Postdoctoral Research Fellow, Genetics
Chemistry & Chemical Biology, Ph.D. Northeastern University
Ekanath Srihari Rangan
Postdoctoral Research Fellow, Genetics
M.B.B.S., Amrita Institute of Medical Sciences and Research
Research interests: Wearable medical systems for non-invasive and pervasive health monitoring in cardiovascular and critical care contexts; Correlation of genomic aspects of disease with phenotypic data from electronic health records; Informatics and machine learning for precise detection and early warning of infectious diseases; Preemptive protocols for managing disease More severity trajectories; And IoT based Telemedicine. Ekanath's current research involves large scale study of resting heart rate, clinical symptoms and daily activities as they relate to COVID-19, as well as their time series big data analysis for risk stratification.
Morteza Roodgar
Postdoctoral Research Fellow, Genetics
Doctor of Veterinary Medicine, University of Shiraz
Comparative Pathology, Ph.D., Unversity of California Davis School of Veterinary Medicine
Research interests: applications of genomics in comparative medicine and animal models (primates).
Sophia Miryam S. Rose
Instructor, Genetics
Fellowship, Stanford School of Medicine/Palo Alto VA Health Care System, Spinal Cord Injury
Intern and Resident, University of Wisconsin Hospital & Clinics, General Surgery
Population Health Sciences, Ph.DP
University of Wisconsin - Madison
Research interests: Understanding the biological effects of the exposome using multiomics profiling. The areas of the exposome I am most interested in include lifetime stress and adversity and environmental chemical exposures
Akshay Sanghi
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy
Stanford University
Xiaotao Shen
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy,
Chinese Academy Of Sciences
Research interests: Metabolomics, Multi-omics, Biostatistics, Systems Biology, and Bioinformatics, and their application in healthcare.
Xiaotao's research focuses on the development of bioinformatic algorithms and tools for large-scale metabolomics as well as its application in discovering new biomarkers related to human diseases. He has developed several algorithms and tools. The first algorithm was MetNormalizer, which is a machine learning-based algorithm for data normalization and integration of large-scale metabolomics. Then he developed a web-based tool, MetFlow, aiming to provide a comprehensive pipeline for data cleaning and statistical analysis of large-scale metabolomics. The most important algorithm he has developed is MetDNA, which is a novel algorithm for metabolite identification and dysregulated pathway analysis in untargeted metabolomics.
Ming-Shian Tsai
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy
National University of Taiwan
Research interests: microbiome, drug regulation, and human diseases.
Meng Wang
Basic Life Research Scientist, Genetics
Statistics, Ph.D. Basic Life Research Scientist, Genetics
Statistics, Ph.D.
University of California, San Diego
Research interests: statistical method development and analysis, machine learning, -omics data integration, system biology.
Yue Wu
Sai Zhang
Postdoctoral Research Fellow, Genetics
Computer Science and Technology, Ph.D. Tsinghua University
Research interests: Machine Learning, Computational Genomics, Statistical Genetics and Computational Medicine
Allison Xinyue Zhang
Postdoctoral Research Fellow, Genetics
Doctor of Philosophy,
University of Kansas
Research interest: Exposome and how environmental exposures affect your health.
Bingqing Zhao
Postdoctoral Research Fellow, Genetics
Doctor of Science,
EMBL, Ruprecht Karl Universitat Heidelberg
Research interests: transcriptional regulation in health and in disease.
Xin Zhou
Postdoctoral Research Fellow, Genetics
Genetics and Genome Science, Ph.D.
University of Connecticut Health Center & The Jackson Laboratory for Genomic Medicine
Research interests: employing new methods to better understand the moving interactions between the human immune system and the environmental factors such as the microbiome.