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.

nbararpo@stanford.edu

Research Interests: Metabolomics, Computational analysis and Software development, Multi-Omics and Integrative analysis. 


Andrew Brooks

Postdoctoral Reseach Fellow, Genetics

Human Genetics and Microbiomics,Ph.D. Vanderbilt University

brooksa@stanford.edu

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.


Faye Chleilat

Postdoctoral Research Fellow, Genetics

Ph.D.,Nutrition, Genetics and Metabolism,
University of Calgary 

faye.chleilat@stanford.edu

Research Interests: Nutrition, Microbiome, Epigenome, Multi-omics, Fertility, Precision Medicine


Graham Erwin

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
University of Wisconsin Madison

gerwin@stanford.edu

 

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.

 


Ariel Bacaner Ganz

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
Cornell University

abganz@stanford.edu

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. 

 Less 


Shubham Gupta

Postdoctoral Research Fellow, Genetics

Ph.D., University of Toronto

shubham@stanford.edu

 

Research interest:  Cancer immunotherapy.


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.

 Less 


Hirotaka Ieki

Postdoctoral Research Fellow, Genetics

  • Ph.D., The University of Tokyo, Medicine
    M.D., The University of Tokyo, Medicine

Dr. Hirotaka Ieki is a physician-scientist specializing in cardiovascular disease. He has completed an internal medicine residency and is a board-certified cardiologist with 10 years of clinical experience in Japan. His research focuses on genomics in cardiovascular disease and machine learning.
  More Dr. Ieki joined Snyder lab in 2023. His project is realizing precision medicine in heart disease by combining genome, omics, and wearable big data using statistical and machine learning techniques.

 Less 


Brian Johnson

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy
University of Pennsylvania

bsjohn@stanford.edu


Maya Kasowski

Clinical Instructor, Pathology
Postdoctoral Research Fellow, Pathology

Residency and Pathology Fellowship
Stanford University

kasowski@stanford.edu


Linda (Yu-Ling) Lan

Postdoctoral Research Fellow, Genetics

Ph.D., Immunology
University of Chicago

lindayl@stanford.edu

 

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.


Petra Mamic

Postdoctoral Medical Fellow, Genetics 

Harvard Medical School, M.D. 

Internal Medicine Residency
Stanford University

Fellowship in Cardiovascular Medicine at Stanford University

mamic@stanford.edu

Research interest:  gut microbiome in cardiovascular disease.


Tim MacKenzie

Postdoctoral Medical Fellow, Genetics 
Fellow in Genetics

Chemistry, Ph.D.
Stanford University

tmackenz@stanford.edu

 


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

tejaswini.mishra@stanford.edu

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.

 Less 


Mahdi Moqri

Postdoctoral Research Fellow, Genetics

Ph.D., University of Florida

moqri@stanford.edu

 

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

Postdoctoral Research Fellow, Genetics

Ph.D., Biochemistry and Molecular Biology UCLA

nshanian@stanford.edu

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

dpanyard@stanford.edu

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

heyjunp@stanford.edu

  • 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. 

 Less 


Ekanath Srihari Rangan

Postdoctoral Research Fellow, Genetics

M.B.B.S., Amrita Institute of Medical Sciences and Research

ekanath@stanford.edu

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.

 Less 


Aubrey Roberts

PhD Candidate in Epidemiology

Community Health and Prevention Research, MS; Stanford University (2021)

Neuroscience, BS; Northwestern University (2020)

aubreykr@stanford.edu

linkedin

Research interests: exercise physiology, molecular transducers of physical activity, epidemiology and population health, precision medicine, nutrition.

Bio: Aubrey’s graduate research involves characterizing the cardiovascular and multi-omic changes that occur with high intensity interval training (HIIT) vs. traditional endurance training in sedentary individuals. She is also interested in the health of female athletes and the interplay between nutrition, energy expenditure, and bone stress injuries.


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

mroodgar@stanford.edu

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

smrose11@stanford.edu

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


Xiaotao Shen

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy,
Chinese Academy Of Sciences

shenxt@stanford.edu

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.

 Less 


Morgan Smith

Ph.D., Kinesiology
Auburn University

morgs@stanford.edu

Research Interests: Female athlete research, exercise physiology, human performance, multi-omics, interventions


Meng Wang

Basic Life Research Scientist, Genetics

Statistics, Ph.D. Basic Life Research Scientist, Genetics

Statistics, Ph.D.
University of California, San Diego

mengw1@stanford.edu

Research interests: statistical method development and analysis, machine learning, -omics data integration, system biology.

 
 

Yue Wu

Postdoctoral Research Fellow, Genetics
 
Institute of Bioinormatics, Ph.D. 
University of Georgia
 
 
 
 Research interest:  Metabolomics, time series, dynamics, machine learning. Yue extracts knowledge from biological time series. He connects biological states from omics data and infers functional variations related to biochemistry, disease, and clinical application. 
 
 

 


Allison Xinyue Zhang

Postdoctoral Research Fellow, Genetics

Doctor of Philosophy,
University of Kansas

zhangxy@stanford.edu

Research interest: Exposome and how environmental exposures affect your health.


Bingqing Zhao

Postdoctoral Research Fellow, Genetics

Doctor of Science,
EMBL, Ruprecht Karl Universitat Heidelberg

bqzhao@stanford.edu

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

xzhou7@stanford.edu

Research interests: employing new methods to better understand the moving interactions between the human immune system and the environmental factors such as the microbiome.