School of Medicine
Showing 1-8 of 8 Results
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Tome Eftimov
Postdoctoral Research Fellow, Biomedical Data Sciences
BioTome Eftimov is a Postdoctoral Research Fellow at the Center for Population Health Sciences. He received his Ph.D. in Information and Communication Technologies from the Jožef Stefan International Postgraduate School, Ljubljana, Slovenia.
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Alexander Ioannidis
Postdoctoral Research Fellow, Biomedical Data Sciences
BioAlexander graduated from Harvard in Chemistry and Physics and earned an MPhil in Computational Biology from the University of Cambridge. Prior to Stanford, he worked in superconducting computing research at Northrop Grumman. He is a PhD graduate of Stanford's Institute for Computational and Mathematical Engineering, where he teaches machine learning and data science. As a current postdoctoral scholar, his research focues on applying computational methods to problems in human population genetics.
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Bibek Paudel
Postdoctoral Research Fellow, Biomedical Data Sciences
BioI am a Postdoctoral Research Fellow at the Department of Biomedical Data Science. My research focuses on developing machine learning and statistical models to solve problems that are inter-disciplinary in nature, including those from the biomedical, ecological, and socio-political sciences. I received my Ph.D. in Computer Science from University of Zurich, Switzerland in 2019, where I developed new algorithms to improve recommendation diversity and algorithmic fairness. I used graph theory, deep learning, and latent-factor models to build documents representations, explainable knowledge base embeddings, and personalization systems. At Stanford, I am building new machine learning models for personalized medicine by combining biological domain knowledge and large heterogeneous datasets. My research spans both ends of the biomedical data spectrum: from single-cell observations to population health data. I am particularly interested in examining the disparate health impacts of environmental factors on vulnerable and minority populations and in understanding how these findings can guide policy interventions.
