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.