Current Lab Members
Erik is Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Health Research and Policy (Epidemiology) at Stanford University. He obtained his MD (2000) and PhD (2005) at Uppsala University, Sweden. After internship, he did a residency in general medicine (2003-2006) and took up a postdoctoral research fellowship at the Framingham Heart Study (2006-2007). He moved to Karolinska Institutet (Stockholm, Sweden) in 2007 and was appointed Professor of Cardiovascular Epidemiology in 2010. From 2013-2016, he was a Professor of Molecular Epidemiology at Uppsala University. He was also a Visiting Professor at the Wellcome Trust Centre for Human Genetics at University of Oxford in 2012-2015. Since May 2016, he is Professor of Medicine at Stanford University. Read more: https://profiles.stanford.edu/erik-ingelsson.
Stefan is a bioinformatician in the Ingelsson laboratory. He got his PhD in Epidemiology at Karolinska Institutet in 2013, and has since then worked as bioinformatician with his primary appointment in the Department of Medical Sciences and Science for Life Laboratory at Uppsala Univeristy, Sweden. He has extensive experience from various biostatistical and bioinformatical analyses, primarily focused on genomics and other -omics methods. Most recently, he has built most analysis pipelines that are used in the Ingelsson laboratory, ranging from GWAS and PheWAS in the UK Biobank to analyses of single-cell RNA sequencing and other high-throughput molecular phenotyping of experiments performed in the wetlab.
Chong is a staff scientist in Cardiovascular Medicine. She obtained her PhD with mentoring from Michael Hayman at SUNY Stony Brook and did her postdoctoral training with Gerald Thomsen at SUNY Stony Brook and Deepak Srivastava at Gladstone Institute of Cardiovascular Disease, UCSF. After her postdoc, she managed several core facilities at UCSF, including the Embryonic Stem Cell Targeting Core and the CRISPR Screen Core, as well as the miRNA knockout mouse project. She is a cell and molecular biologist with extensive research experience in genome engineering and genetic screens based on CRISPR/Cas9 technology. Since joining the lab in November 2017, she is setting up high-throughput genetic screenings to identify causal genes of insulin resistance and related cardiovascular metabolic diseases.
Lee is a clinical and postdoctoral fellow in Cardiovascular Medicine. He graduated from Stanford with degrees in Economics and Biology and worked at Acumen, LLC as a health policy analyst before receiving his MD from UCSF School of Medicine. He completed his Internal Medicine training at Massachusetts General Hospital, where he worked with Dr. Robert Yeh on outcomes research for coronary heart disease. After returning to Stanford as a Cardiovascular Medicine fellow, his research interest lies in using machine learning to develop risk prediction models for coronary heart disease and ischemic cardiomyopathy.
Sylwia is a postdoctoral fellow in the Division of Cardiovascular Medicine. She received her MS degree in biology from University of Lodz, Poland in 2009, and PhD in medical sciences from University of Groningen, the Netherlands in 2014. During her PhD project focused on genetic factors contributing to human aging, Sylwia visited Mayo Clinic (Rochester, MN) to study senescence of human adipose tissue. As a post-doctoral researcher at Johannes Gutenberg University Mainz, Germany (2014-2016), she analyzed ancient human genomes using NGS methods. In the Ingelsson lab, she is studying genetics and proteomics of obesity, insulin resistance, blood lipid levels and cardiovascular disease to identify biomarkers for improved risk prediction and discover novel targets for drug development.
Johanne is a postdoctoral fellow in Division of Cardiovascular Medicine and Department of Biomedical Data Sciences. She obtained her MSc in Biotechnology (2010) and PhD in Metabolic Genetics at University of Copenhagen, Denmark (2017). Her research has mainly focused on studies evaluating the combined effect of polygenic risk scores together with lifestyle risk factors in relation to blood lipid levels and development of cardiovascular diseases in Danish prospective population-based cohorts. Currently, her research focuses on identifying novel genetic variants that are causally related to cardiometabolic disease by developing novel statistical methods and tools, as well as studying the underlying biological mechanisms behind selected associated variation via functional follow-up experiments.
Joanna is a postdoctoral fellow in Cardiovascular Medicine and Endocrinology. She studied Electrical Engineering both in her undergraduate degree at Washington University in St. Louis and in her PhD at Stanford University, where her research focused on computational modeling of body weight in the US population. She worked in Silicon Valley as an algorithm developer and as a data scientist prior to this postdoctoral position. Her research interest is broadly Artificial Intelligence in medicine, and most recently, she is studying the effects of nutritional factors on cardiovascular disease and insulin resistance. Outside of research, she is active in the data science and Python communities.
Jiehan is a postdoctoral fellow in the Division of Cardiovascular Medicine. She received her undergraduate degree in Pharmaceutical Chemistry at University of Toronto, and PhD in Pharmacology & Therapeutics at McGill University, Canada. Her research has mainly focused on studying the development and function of adipocytes in health and obesity-related diseases. In the Ingelsson lab, she is currently combining the CRISPR gene perturbation in adipocytes with single-cell RNA-sequencing to identify causal genes in obesity-related insulin resistance.
Alberta (Allie) Yen
Allie is a clinical and postdoctoral research fellow in the Division of Cardiovascular Medicine at Stanford. She graduated from Harvard with a degree in Neurobiology and obtained her MD at the University of Michigan Medical School. As a medical student, she was a Sarnoff research fellow in the laboratory of Dr. Jonathan Epstein at the University of Pennsylvania. She completed her internal medicine training at Stanford University and continued her training in cardiovascular medicine at Stanford, where she has completed an advanced cardiovascular imaging fellowship. Her research focuses on understanding the genetic and non-genetic factors that contribute to the development of cardiovascular disease in cancer patients.
Daniela is a postdoctoral fellow in the Division of Cardiovascular Medicine at Stanford. She received her MS degree in Human Biology from University of Cagliari, Italy in 2011, and her PhD in population genetics from University of Barcelona, Spain in 2015. She is interested in using population genetics, epidemiology, and Mendelian randomization to define causal risk factors for cardiovascular disease. In the Ingelsson lab, she is studying the possible causal roles of kidney-related biomarkers in the development of cardiovascular disease and type 2 diabetes mellitus.
Abhiram Rao is a graduate student in the Bioengineering department at Stanford University co-advised by Erik Ingelsson and Stephen Montgomery. He obtained his Master’s degree in Bioengineering at Stanford University (2017) and undergraduate degree in Biomedical Engineering and Mechanical Engineering at the State University of New York in Buffalo, NY (2015). He currently works on integrating population genetics and multiple omic datasets to better identify drug targets and predict drug effects. More broadly, he is interested in precision health, drug discovery/repurposing, understanding the biology underlying disease, and predicting health outcomes.
Biyao is a PhD student in Epidemiology in the Department of Health Research and Policy at Stanford University. She obtained her Bachelor of Economics and Bachelor of Arts in English Literature at Tsinghua University, China (2015) and Master of Public Policy at University of Oxford, United Kingdom (2016). Before starting her PhD, she worked as a research coordinator in the Division of Gastroenterology and Hepatology at Stanford, where she studied the disease and economic burden and risk factors of liver disease in the United States and Asia. Currently, she focuses on identifying causal risk factors for non-alcoholic fatty liver disease and the causal role of non-alcoholic fatty liver disease in various diseases including cardiovascular disease and cancer using a genetic epidemiology approach.
Previous members of the Ingelsson lab
|Marcel den Hoed||Associate Professor; Dept. of Immunology, Genetics and Pathology, Uppsala University, Sweden|
|Tove Fall||Associate Professor; Department of Medicine, Uppsala University, Sweden|
|Andrea Ganna||Postdoctoral fellow; Broad Institute, Boston, MA|
|Gao He||Research Associate; Imperial College London, UK|
|Åsa Hedman||Postdoctoral fellow; Department of Medicine, Karolinska Institutet, Sweden|
|Sara Hägg||Associate Professor; Department of Medical Epidemiology, Karolinska Institutet, Sweden|
|Elisabet Jobs||Assistant Professor; Department of Public Health and Caring Sciences, Uppsala University, Sweden|
|Jitender Kumar||Assistant Professor; Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, India|
|Daniel Lindholm||Attending physician and researcher; Department of Medical Sciences, Uppsala University, Sweden|
|Maurizio Morri||Scientist; Chan-Zuckerberg Biohub, San Francisco, CA|
|Edit Nagy||Attending cardiologist; Division of Cardiology, Karolinska University Hospital, Sweden|
|Elisabeth Nerpin||Assistant Professor; Department of Medical Sciences, Dalarna University, Sweden|
|Christoph Nowak||Postdoctoral fellow; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden|
Data scientist; Ferrologic, Stockholm, Sweden
|Samira Salihovic||Researcher; School of Science and Technology, Örebro University, Sweden|
|Ivy Shiue||Associate member; Alzheimer Scotland Dementia Research Centre, UK|
|Ci Song||Postdoctoral fellow; Dept. of Immunology, Genetics and Pathology, Uppsala University, Sweden, Sweden|
|Emmi Tikkanen||Senior Data Scientist, Nightingale Health Ltd|