Devon Krish
Devon Krish (’27, Bioengineering & EECS) is deeply interested in using computers and machine learning to decipher the human brain. He has spent the past six years working with Dr. Jon Kleen at UCSF, where his research focuses on decoding neural signals from high-density electrodes surgically implanted directly on and within the brain to better understand epilepsy and cognition. Devon aims to pursue an MD/PhD and a career in neurosurgery, while developing technologies to improve the diagnosis and treatment of neurological disorders. In his free time, he enjoys writing music […]
Arul Banerjea
Arul Banerjea (’27, Bioengineering/Molecular & Cellular Biology) is passionate about understanding the biophysical mechanisms underlying gene regulation. In the Tjian-Darzacq lab, he uses single-molecule imaging and live-cell assays to investigate how Rett syndrome-associated chromatin regulators function at the molecular level. Beyond the bench, Arul works as a Resident Assistant and as Treasurer for Kesem Berkeley, where he has spearheaded efforts to raise over $270,000 to support children affected by a parent’s cancer. In his free time, Arul likes to lift, teach, and work at RockMed events. He hopes to pursue […]
Kavish Kondap
Kavish Kondap (’28, Electrical Engineering & Computer Science) is passionate about imbuing robots with human-like intelligence. He currently works in Professor Ken Goldberg’s AUTOLab, applying cutting-edge machine learning techniques to enable robots to learn from their experiences. He hopes that his work will one day help replace human labor for dangerous or mundane tasks and provide fully autonomous assistants for home and industrial settings. Outside the lab, Kavish is passionate about teaching — he has served on course staff for CS61A, Berkeley’s largest CS course, and lectured for a student-run […]
Emily Du
Emily Du (’26, Molecular and Cell Biology) is fascinated by developmental biology and the mechanisms behind congenital disease. She is currently an undergraduate researcher in the lab of Professor Richard Harland, where she is studying mammalian organogenesis. Outside of research, Emily is a student instructor for UC Berkeley’s Developmental Biology course, MCB 141, and a volunteer at Highland Hospital’s Emergency Department. After graduation, Emily plans to pursue MD/PhD degrees and eventually work as a surgeon scientist.
Carolyn Nguyen
Carolyn Nguyen (’26, Molecular and Cell Biology/Business Administration) is passionate about advancing next-generation therapeutics through epigenome editing, immunotherapy, and stem cell biology. At UC Berkeley, she conducts research in the lab of Dr. James Nuñez, applying CRISPR technology to modulate gene expression with the goal of advancing targeted epigenetic editing tools. With a dual background in science and business, Carolyn is particularly interested in bridging research and industry to make innovative treatments more accessible and equitable. In the future, she hopes to work at the intersection of biomedical research and […]
Jaime Alvarez
Jaime Alvarez (’26, Physics) is interested in gravitational wave physics, quantum optics, and precision instrumentation. While at Fullerton College, Jaime completed research projects at the University of Southern California (USC) and the Massachusetts Institute of Technology (MIT). While at USC, Jaime worked with Dr. Kris Pardo using astrometric techniques to set constraints on the chirp mass and distance of supermassive black hole binaries. He later spent a summer in the LIGO lab at MIT, working with Dr. Nergis Mavalvala and Dr. Eric Oelker on the GRAVITES project, where he helped […]
Cooper Jacobus
Cooper Jacobus (’25, Astrophysics and Logic) is passionate about Computational Physics and fascinated with Cosmology and Machine Intelligence. He currently works toward solving problems in Cosmology using Machine Learning methods at UC Berkeley’s Department of Astronomy and Berkeley Lab’s Computational Cosmology Center. His research uses supercomputers to simulate the birth and history of the Cosmos to learn about the nature of gravity and dark matter. He hopes his work will inspire a new generation of scientists and shed light on the grandest mysteries of the universe. Outside of research, Cooper greatly enjoys […]
Alana Yang
Alana Yang (’25, MCB and Data Science) is interested in translational immunology and computational biology. She is an undergraduate researcher in the Doudna Lab, where her research involves developing an assay to streamline diagnosis for novel mutations causing ART-SCID. She is also using computational tools to analyze T cell diversity as an early predictor of whether patients with SCID need a second bone marrow transplant. After graduation, Alana plans on pursuing a PhD in molecular biology.
Samuel Alber
Samuel Alber (’24, Computer Science and Physics) is interested in the mathematics and physics underlying the immune system and plans to pursue a PhD in computational biology. His research involves developing and applying statistical/computational methods for analyzing single-cell multiomics data from immune cells. He also develops computer vision algorithms for analyzing immune cell interactions from microscopy images and videos. Outside of research, Sam enjoys teaching and is currently a teaching assistant for Berkeley’s machine learning course.