Summary
Leonidas Tam is a managing partner and AI founder with a decade of experience applying deep learning and signal processing to real-world problems, currently leading Amicus.ai and serving as fractional CTO at Karmeq from the San Francisco Bay Area. He holds a Ph.D. from Yale where his interdisciplinary work fused physics, hardware, and machine learning to push MRI beyond Nyquist limits, and later drove research and solution architecture at NVIDIA scaling deep learning infrastructure. His background bridged academic impact—top-3% in a global diabetic retinopathy challenge and peer-reviewed publications—with product-focused AI hedge fund and fintech work. An analytical thinker trained in mathematics and physics, he pairs rigorous theory with hands-on system building and unconventional interests that include advanced SCUBA and martial arts, reflecting a pragmatic, risk-literate approach to innovation.
10 years of coding experience
8 years of employment as a software developer
B.Sc. with Honors, Mildred T. Widgoff Best Thesis Prize, Mathematics and Physics, B.Sc. with Honors, Mildred T. Widgoff Best Thesis Prize, Mathematics and Physics at Brown University
Doctor of Philosophy (Ph.D.), Engineering, Doctor of Philosophy (Ph.D.), Engineering at Yale University
Stanford University
English, Chinese, Chinese, Spanish, German