Project Manager/Directors

Jennifer Li-Pook-Than, PhD

Project Manager, Stanford Precision Health for Ethnic and Racial Equity (SPHERE) Center http://med.stanford.edu/sphere/

jennlpt@stanford.edu

Jennifer Li-Pook-Than is the project manager for the SPHERE (Stanford Precision Health for Ethnic and Racial Equity) Center.  She heads the multi-disciplinary effort to establish and coordinate Project 1 BRAICELET: Bio-Repository for American Indian Capacity, Education, Law, Economics and Technology.  More This endeavor is focused on big data-omics science, population health ethics, data sovereignty and community co-education; developing meaningful collaborations with counterparts in the Great Plains Tribes, including Black Hills Center for American Indian Health (BHCAIH), Missouri Breaks Industries Research (MBIRI) and the Native BioData Consortium (NBDC).  This work is also paralleled in Studies on AutoImmune Illnesses with the Lakota (SAIL), an over decade long relationship with the Snyder Lab, helping to harmonize the use of big-data science and meaningful dissemination with American Indian Tribal communities. She also leads the SPHERE lab core for Project 2: Integrative Personalized Omics Profiling (iPOP) for Obesity and Diabetes Risk in Latino Youth aims to reduce health disparities by developing and applying -omics technologies (Dr. Robinson) and Project 3: Precision Aging and Dementia for all Races and Ethnicities (Dr. Periyakoil). She also has a key role in iPOP projects (first author in seminal iPOP 2012 publication) with expertise in RNA biology (integration, transcriptome: allele specific expression and RNA editing) as well as auto-antibody protoarrays, whereby she is applying her techniques for a COVID-19 monitoring effort..

 

 Less 

Lihua Jiang, PhD

Director of Mass Spectrometry Center for Advanced Research

University of Illinois at Urbana-Champaign, Ph.D.

lihuaj@stanford.edu


Lihua Jiang directs the mass spectrometry center for the Integrated Personal Omics Profiling and the Genotype-Tissue Expression (GTEx) projects.  More She is trained in medicine and obtained her Ph.D in analytical chemistry. She has extensive experience in mass spectrometry based quantitative proteomics and metabolomics. Also, Lihua has developed and validated a variety of quantitative methods for the study of different cell lines, human organs and plasma/serum samples and constructed a quantitative proteome map of human body. She is an expert in mass spectrometry technologies and truly believes that the integration of modern technologies with omics profiling will revolutionize medicine.

 Less 


Casandra Trowbridge

Administrative and Operations Director, Metabolic Health Center

University of South Florida

ctbridge@stanford.edu

 

Casandra Trowbridge co-directs the Stanford Metabolic Health Center, Maternal and Child Health with a team of faculty and staff  More directors.  She leads administration and operations, and is involved in Center activities across Stanford Medicine, Stanford Children’s Health, and Stanford Health Care. 

Casandra’s administrative and project/program management career started out as an intern at The White House during the G.W. Bush Administration.  In the years following, she worked across different sectors and industries, and one day landed in basic science research, specifically in genetics and genomics. She went to work for the Broad Institute of MIT and Harvard and was part of the Genotype-Tissue Expression Project (GTEx) as well as the Broad Fellows Program. In November 2017, Casandra joined the Snyder Lab and Stanford’s Genetics Department and entered into the metabolomics space.  She helped launch the Stanford Metabolic Health Center, which aims to improve metabolic disease prediction, prevention, and treatment for neonates and children.

 Less 


Annika Weimer

Director of Genomics Mapping Center 

University of Cologne, Germany, Ph.D.

aweimer@stanford.edu

Annika leads the ENCODE Production Center for Mapping Regulatory Regions of the Human Genome.  More She studied Biology in Germany and worked on cell-cycle checkpoint control during her PhD in France. After postdoctoral positions in Belgium and in the Biology department at Stanford, Annika joined Prof. Snyder’s lab in the Genetics Department. The Production Center for Mapping Regulatory Regions of the Human Genome is part of the ENCODE (Encyclopedia of DNA Elements) Consortium - an international collaboration of research groups funded by the National Human Genome Research Institute (NHGRI). Our goal at the Snyder ENCODE Production Center is to build a comprehensive map of regulatory regions in the human genome using cutting-edge genomics technology. Annika also manages Prof. Snyder’s PsychENCODE project: Many devastating neuropsychiatric disorders have a strong genetic predisposition. Over the past decade psychiatric genetics research, taking advantage of the unfolding genome technology revolution, has begun revealing an ever-increasing number of highly credible candidate loci that can be expected to constitute important parts of this strong genetic predisposition. Our PsychENCODE project (together with Prof. Alexander Urban, Stanford) was formed to meet these challenges by applying newly available and emerging methods for functional genomics analyses to primary tissue samples from human brains of donors who had been affected by neuropsychiatric disorders.

 

 Less 


Amir Bahmani, PhD

Director of Science and Technology at Stanford Healthcare Innovation Lab (SHIL)
Lecturer, Genetics

abahman@stanford.edu

Amir Bahmani is the Director of Science and Technology at Stanford Healthcare Innovation Lab (SHIL), the Research and Development Lead at Stanford Center for Genomics and Personalized Medicine (SCGPM) and a lecturer at Stanford University. He has been working on distributed and parallel computing applications since 2008.

Currently, Amir is an active researcher in the VA Million Veteran Program (MVP), Human Tumor Atlas Network (HTAN), the Human BioMolecular Atlas Program (HuBMAP), Stanford Metabolic Health Center (MHC) and Integrated Personal Omics Profiling (iPOP).