Welcome to Yingtao’s Homepage!

Biography

My name is Yingtao Luo (Ying-Tao Luo, 罗颖韬). I am a second-year Ph.D. student in Information System at Carnegie Mellon University fully supported by the Presidential Fellowship and the CMLH Translational Fellowship in Digital Health from CMU. At Heinz college, I am mainly advised by Prof. Rema Padman to work on sequential decision-making agent for heart failure. I may be on track with the joint Ph.D. degree with the machine learning department from this semester if I am lucky and am working on foundation models & contextualized treatment simulation in the SAILING Lab of Prof. Eric P. Xing. Before joining CMU, I primarily work with Prof. Jun Zhu at Tsinghua University, Prof. Qiang Liu at CASIA and many other wonderful people. I also worked at Damo Academy of Alibaba and Microsoft Research Asia for research intern.

Truly grateful for all the great people from whom I learn a lot and get a lot of support.

Methodology Interest

Decision Making: Learning Agent that collaborates with experts to make clinical decisions.
Foundation Model: Solution to critical scientific problems such as single-cell modeling.
Bio-Physics Encoding: Understanding of the first-principle human knowledge for AI models.

Domain Interest

Health, Science (scientific basis for health) and Science of Science.

Statement

There are other interesting directions I have tried in the past, but now I am “all in” Interests mentioned above. I am more attracted to real-world impact and how people’s lives can be improved directly (one of the reasons I quit physics, alas), while truly enjoying exposing myself to core ML theory. I am generally open to collaboration and enjoy working with talented people I have met so far.

Skillset

Mostly about core ML (statistics, convex optimization, graphical model, reinforcement learning, etc.) and coding with Pytorch and CUDA, but also have the pleasure to learn human decision bias (behavioral econ) and utility theory from Ph.D.-level economics courses to aid my research.