Tatu is a Senior Research Scientist II in the Tian Lab, where he contributes to the development and optimization of molecular biosensors through AI/ML-driven screening and biophysical approaches. With a background in pharmaceutical sciences and biophysics, his research integrates high-throughput experimental platforms with computational modeling to accelerate biosensor design. He has applied machine learning and biophysical methods across a range of biomedical settings, including drug discovery, diagnostic liquid biopsies, and biomaterial characterization. His therapeutic focus has included various cancers and neurodegenerative diseases.
Before joining MPFI, Tatu worked in both academic and industry settings, leading interdisciplinary projects that combined real-time biosensing, advanced imaging, and AI-based data analysis. He is particularly interested in integrating sensor design with predictive modeling to probe signaling events and molecular interactions with high precision, especially in the context of modern drug discovery.
Outside the lab, Tatu is an avid long-distance runner and on an infinite journey to reveal the secrets of electric guitar. He also enjoys ice hockey, good humor, books, and exploring how the world works through the lens of physics.