My name is Darin. It's a pleasure to meet you!

• You can view my CV here.
• You can view my resume here.
• For more information, check out my website here!

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, interpretable tools for generative models in the biosciences. I am currently supported by the NSF Graduate Research Fellowship. My research focuses on:

I’m a Ph.D. student at the Georgia Institute of Technology studying Electrical and Computer Engineering. I previously received my BS degree at the University of California San Diego in Bioengineering. I am currently working on developing artificial intelligence solutions in applications of bioinformatics with Dr. Amirali Aghazadeh. In my undergrad, I was designing a low-cost surgical navigation platform using computer vision under Dr. Frank Talke in the Talke Biomedical Device Lab. I have also explored applications of machine learning in bioelectronic COVID-19 detection under Dr. Gert Cauwenberghs in the Integrated Systems Neuroengineering Laboratory.

• 💓 I code everything I do in Python and MATLAB.
• 🌱 I’m currently exploring deep learning in bioinformatics.
• ⚡ Fun fact: I started uni as a mechanical engineer!
• 💬 Ask me about anything! If I don't know it, I'd love to learn.
• 📫 Want to get in contact? Shoot me an email at darint@gatech.edu

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.

Darin Tsui, Aryan Musharaf, Justin S. Kang, Yigit E. Erginbas, and Amirali Aghazadeh. SHAP zero explains biological sequence models with near-zero marginal cost for future queries. In Advances in Neural Information Processing Systems (NeurIPS), 2025.

Thomas A. Walton, Darin Tsui, Aryan Musharaf, and Amirali Aghazadeh. SpecMER: Fast protein generation with K-mer guided speculative decoding. In NeurIPS (Spotlight), 2025.

Darin Tsui, Kunal Talreja, and Amirali Aghazadeh. Sparse autoencoders for low-N protein function prediction and design. In NeurIPS AI4Science Workshop, 2025.