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Assistant Professor of Genetics
Maternal & Child Health Research Institute (MCHRI)
PhD, MIT, Harvard-MIT Division of Health Sciences and Technology (2016)
MS, Stanford University, Bioengineering (2010)
BS, Stanford University, Biomedical Computation (2010)
My Lab Site
Basic Science and Engineering Initiative
Directed Reading in Genetics
GENE 299 (Aut, Win, Spr, Sum)
GENE 399 (Aut, Win, Spr, Sum)
GENE 260 (Aut, Win, Spr, Sum)
GENE 199 (Aut, Win, Spr, Sum)
Doctoral Dissertation Reader (AC)
Postdoctoral Faculty Sponsor
Doctoral Dissertation Advisor (AC)
Graduate and Fellowship Programs
Genetics (Phd Program)
10 Results / Page
Profiles With Related Publications
Laurie Kraus Lacob Director of the Stanford Cancer Institute (SCI), Jerome and Daisy Low Gilbert Professor and Professor of Biochemistry
Telomeres are nucleoprotein complexes that protect chromosome ends and shorten with cell division and aging. We are interested in how telomere shortening influences cancer, stem cell function, aging and human disease. Telomerase is a reverse transcriptase that synthesizes telomere repeats and is expressed in stem cells and in cancer. We have found that telomerase also regulates stem cells and we are pursuing the function of telomerase through diverse genetic and biochemical approaches.
Themistocles (Tim) Assimes
Associate Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Epidemiology and Population Health
Genetic Epidemiology, Genetic Determinants of Complex Traits related to Cardiovasular Medicine, Coronary Artery Disease related pathway analyses and integrative genomics, Mendelian randomization studies, risk prediction for major adverse cardiovascular events, cardiovascular medicine related pharmacogenomics, ethnic differences in the determinants of Insulin Mediated Glucose Uptake, pharmacoepidemiology of cardiovascular drugs & outcomes
Professor of Developmental Biology, of Computer Science, of Pediatrics (Genetics) and of Biomedical Data Science
1. Automating monogenic patient diagnosis.
2. The genomic signatures of independent divergent and convergent trait evolution in mammals.
3. The logic of human gene regulation.
4. The reasons for sequence ultraconservation.
5. Cryptogenomics to bridge medical silos.
6. Cryptogenetics to debate social injustice.
7. Managing patient risk using machine learning.
8. Understanding the flow of money in the US healthcare system.
Douglas L. Brutlag
Professor of Biochemistry, Emeritus
My primary interest is to understand the flow of information from the genome to the phenotype of an organism. This interest includes predicting the structure and function of genes and proteins from their primary sequence, predicting function from structure simulating protein folding and ligand docking, and predicitng disease from genome variations. These goals are the same as the goals of molecular biology, however, we use primarily computational approaches.
Associate Professor of Biology
We study the evolution of complex traits by developing new experimental and computational methods.
Our work brings together quantitative genetics, genomics, epigenetics, and evolutionary biology to achieve a deeper understanding of how genetic variation shapes the phenotypic diversity of life. Our main focus is on the evolution of gene expression, which is the primary fuel for natural selection. Our long-term goal is to be able to introduce complex traits into new species via genome editing.
Assistant Professor (Research) of Medicine (Quantitative Sciences Unit) and, by courtesy, of Biomedical Data Science
Computational systems biology of human disease. Particular focus on integration of high-throughput datasets with each other, and with phenotypic information and clinical outcomes.
Assistant Professor of Computer Science
Postdoctoral Scholar, Stanford Cancer Center
Maya M. Kasowski
Assistant Professor of Medicine (Sean N Parker Center for Allergy and Asthma Research) of Pathology and, by courtesy, of Genetics
Research Scientist, Stanford Cancer Institute Core
Joshua W. Knowles
Assistant Professor of Medicine (Cardiovascular Medicine)
Cardiology, Insulin Resistance, Familial Hypercholesterolemia, Cardiovascular Disease, Genetics, Preventive cardiology, Cholesterol, Hypertriglyceridemia, Polygenic risk, statin intolerance
Genetic basis of coronary disease
Genetic basis of insulin resistance
Familial Hypercholesterolemia (FH)
Assistant Professor of Genetics and of Computer Science
We develop statistical and machine learning frameworks to learn predictive, dynamic and causal models of gene regulation from heterogeneous functional genomics data.
Publication Topics For This Person
Cell Cycle Proteins
Cell Line, Tumor
Enhancer Elements, Genetic
GATA1 Transcription Factor
Gene Expression Profiling
Gene Expression Regulation
Genetic Predisposition to Disease
Genome-Wide Association Study
High-Throughput Nucleotide Sequencing
Molecular Sequence Data
Oligonucleotide Array Sequence Analysis
Polymorphism, Single Nucleotide
Promoter Regions, Genetic
Sequence Analysis, RNA