Darin Tsui

Hi there! My name is Darin. I’m a Ph.D. candidate and NSF GRFP fellow at the Georgia Institute of Technology studying Electrical and Computer Engineering and Bioengineering. I previously received my BS degree at the University of California San Diego in Bioengineering.

I currently work with Dr. Amirali Aghazadeh in the AI ML & Information Group, where I develop scalable tools for generative models in the biosciences. I am currently supported by the NSF Graduate Research Fellowship. My research focuses on:

• Leveraging mechanistic interpretability frameworks, such as cross-layer transcoders and sparse autoencoders, for circuit discovery, protein design, and extracting biological mechanisms from protein language models.

• Extracting higher-order interactions in models 1000-fold quicker than state-of-the-art methods by developing algorithms at the intersection of signal processing, coding theory, and combinatorics.

• Developing principled generative models for high-throughput cryo-electron microscopy (cryo-EM), autoregressive protein generation, and variant effect prediction.

My background is highlighly interdisciplinary. I previously validated deep learning models at Surgalign (acquired by Xtant Medical), developed an optical surgical platform in the Talke Biomedical Device Lab, and designed a bioelectronic COVID-19 test in the Integrated Systems Neuroengineering Laboratory.

Outside of research, I co-chair Bioengineering Day at Georgia Tech, which aims to highlight interdisciplinary research. Previously, I served as President of the IEEE student branch and helped found the IEEE EMBS chapter at UC San Diego.