Bio

I am a Postdoc at Harvard Department of Statistics under the supervision of Professor Susan Murphy on designing reinforcement algorithms for Mobile Health. Before that, I finished my Master and Ph.D. degrees in MIT Electrical Engineering and Computer Science and finished my undergraduate in both Math and Electrical Engineering in National Taiwan University. I'm interested in inference, statistics, signal processing, machine learning, and all kinds of math. I am experienced in integrating multiple fields to create novel research directions and am particularly interested in applying my knowledge in math and CS to health-related applications.

Under the supervision of Professor Vivienne Sze and Professor Thomas Heldt, my Ph.D. project -- using eye features collected from mobile devices (e.g. iPad) to track neurodegenerative diseases such as Alzheimer's disease -- opens up the possibility to track these diseases more accurately and frequently from a larger population than previously possible. This project involves computer vision, signal processing, and Bayesian inference for disease progression modeling, and coding in multiple languages (matlab, python, c++, swift).

Under the supervision of Professor Alan Oppenheim, my Master's thesis explores the properties of an innovative sampling method -- amplitude sampling. Similar to level-crossing sampling, amplitude sampling represents a signal with discrete time instants. However, while most level-crossing-sampling reconstruction methods cannot recover the original signal, I have developed a reconstruction algorithm for amplitude sampling that may perfectly reconstruct the original signal. It was developed using complex analysis and intuitions from numerical methods.

 

You can look at my publication page, my CV, and Google Scholar for more details about these two projects. 

I also have two fascinating leisure-time activities: writing and learning pure math (eg. algebra and probability theory). I wrote an article for MIT Graduate Blog about difficulties I encountered in my grad school and how that helped me become a more compassionate person. I wrote another article about friendship. I deeply care about diversity. If you feel any imposter syndrome, I hope my blogs can help you understand that you are not alone and can help you rediscover your inner strength. I am grateful that due to the mentorship I have received, I can learn exciting knowledge and work on exciting research areas. I, thus, am devoted to be a great mentor and help people who may lack privileges.