School of Medicine
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Postdoctoral Scholar, Infectious Diseases
BioI'm a molecular infection biologist by training, but shifted my focus from pathogens to hosts for my graduate research. During my PhD with Phil Spence in Edinburgh I studied both falciparum and vivax malaria using controlled human (re)infection models, collaborating closely with the groups of Simon Draper and Angela Minassian in Oxford. As a hybrid bioinformatician and experimentalist, I love systems immunology for answering complex questions about human health. For my postdoc, I study in how the human immune response to malaria evolves in infants as they become reinfected and age. I'm also interested in how such early-life immunological events, malaria and beyond, may affect vaccine responses and immune development later in life. I address this question by making use of a longitudinal study cohort of infants receiving monthly chemoprevention in Eastern Uganda, together with our collaborators at UC San Francisco and IDRC Uganda.
Adrian Matias Bacong
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsAdrian M. Bacong, PhD, MPH is a social epidemiologist by training. His research seeks to identify social and structural factors that underlie health inequities by race, ethnicity, and immigration status. Specifically, his work has explored the role of socioeconomic factors in explaining health disparities by immigrant legal status and visa type. Furthermore, Adrian is interested in the effects of immigration on health. He received a NIH F31 award (1F31MD015931-01A1) to examine factors affecting the health of Filipino migrants to the U.S. compared to Filipinos remaining in the Philippines.
Adrian has also examined the intersections of race, ethnicity, and immigration status among older adults. Finally, Adrian written upon the role of data disaggregation as a method of public health critical race praxis. Currently, Adrian is researching the role of social and policy level factors underlying health disparities among immigrants.
Cameron Scott Bader
Postdoctoral Scholar, Bone Marrow Transplantation
BioMy research is focused on using preclinical models to develop novel therapies which improve outcomes for patients receiving allogeneic hematopoietic stem cell transplantation. Currently, my work aims to establish strategies to reduce the risk of relapse after allogeneic hematopoietic stem cell transplantation without exacerbating graft-versus-host disease or interfering with donor stem cell engraftment.
Postdoctoral Scholar, Oncology
BioMy research is focused on computational and systems biology. My primary research interest lies in developing new computational algorithms and statistical methods for the analysis of complex data in biological systems, especially related to the large-scale single-cell RNA sequencing data. The specific topics I have examined include:
1. Integration of single-cell multi-omics datasets for tumor
2. Statistical test of cell developmental trajectories
3. Visualization and reconstruction of single-cell RNA sequencing data
4. Computational analysis of the bifurcating event revealed by dynamical network biomarker methods
Postdoctoral Scholar, Biomedical Informatics
Masters Student in Biomedical Informatics, admitted Autumn 2020
BioShaimaa is a graduate of the Ph.D. program, the Department of Electrical Engineering at Stanford. Shaimaa is a member of the Gevaert and RIIPL labs. Prior to Stanford, Shaimaa received her B.Sc. (Summa Cum Laude) from the American University in Cairo, where she studied Electronics Engineering and Computer Science. She obtained her MS degree in Electrical Engineering from Rensselaer Polytechnic Institute, working in the Cognitive and Immersive Systems lab, and advised by Professor Richard Radke. Shaimaa is interested in applying and developing machine learning methods for medical imaging and molecular data.
Thomas Barba, MD, PhD
Postdoctoral Scholar, Biomedical Informatics
BioI am a postdoctoral scholar with a medical background in Internal Medicine and a degree in Immunology from the University of Lyon (France). As a practitioner in hospital medicine, I am mainly interested in rare autoimmune diseases such as systemic lupus erythematosus (SLE).
My postdoctoral project in Prof Olivier Gevaert's laboratory aims at developing deep learning tools that take advantage of data fusion procedures to assist clinical decision-making in the management of complex diseases.