School of Engineering
Showing 1-10 of 15 Results
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Jijumon A. S.
Postdoctoral Scholar, Bioengineering
BioI am a molecular cell biologist with interdisciplinary training in protein biochemistry, bioengineering, molecular biology, and structural biology. I am currently a Postdoctoral Researcher in the laboratory of Manu Prakash at Stanford University. I earned my Bachelor’s and Master’s degrees in Biological Sciences from the Indian Institute of Science Education and Research, Kolkata (IISER-K). Following this, I moved to Europe and joined the Biological Research Centre (BRC) of the Hungarian Academy of Sciences as an ITC Fellow, where I completed a one-year training program in contemporary experimental biology and state-of-the-art techniques, along with a project on sarcomeric actin regulation in Jozsef Mihaly’s lab. In 2016, I began my doctoral research in Cell Biology and Biochemistry as a Marie Curie Fellow in Carsten Janke’s laboratory at Institut Curie, University of Paris-Saclay. My broader research interests include cytoskeletal regulation, proteomics, and the development of tools for molecular cell biology. I primarily use biochemical and bioengineering approaches to address my research questions. Beyond research, I enjoy reading, flying drones, running, playing pickleball, and driving.
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Geun Ho Ahn
Postdoctoral Scholar, Electrical Engineering
BioI am a postdoctoral researcher at Stanford University, specializing in integrated photonics, material sciences, and computational optimization to develop innovative photonic-electronic systems for optical interconnects, metrology, and quantum science.
I earned my Ph.D. in Electrical Engineering from Stanford University, where I worked with Professor Jelena Vuckovic as a SGF fellow and FMA fellow on integrated photonics system through heterogeneous integration and photonic inverse design. -
Youssef Allouah
Postdoctoral Scholar, Computer Science
BioYoussef Allouah is a postdoctoral scholar at Stanford University. He is working with Prof. Sanmi Koyejo at the Computer Science department. His research interests are broadly in the principles of trustworthy machine learning, specifically the theory and practice of privacy, robustness, and unlearning.