Fun fact: This is me backpacking in Wellington, New Zealand!
Meera Krishnamoorthy
About Me
I am a third year Ph.D. student in Computer Science at the University of Michigan. I work with Professor Jenna Wiens on developing novel machine learning techniques to classify healthcare data. Part of my work is funded by a Graduate Fellowship for STEM Diversity.
I received my bachelor's degree from Caltech (major: EE, minor: CS).
My previous experience includes
- machine learning/autonomous systems control research at Caltech's CAST (Center for Autonomous Systems and Technology) with Professor Yisong Yue
- software development and social network analysis at Rocketship.vc
- spectral analysis of images of Jupiter at NASA Jet Propulsion Laboratory with Dr. Glenn Orton
- mathematical modeling of populations facing extinction at Stanford with Professor Shripad Tuljapurkar
Here is my CV.
News
- June 9, 2022: Our paper presenting AMAISE (A Machine learning Approach to Index-free Sequence Enrichment) was published in Nature Communications Biology (related blog post, related article).
Publications
- Meera Krishnamoorthy, Piyush Ranjan, John R. Erb-Downward, Robert P. Dickson, Jenna Wiens.
AMAISE: a machine learning approach to index-free sequence enrichment
Journal Paper, Nature Communications Biology 5, 568 (2022)
[Article] [PDF] [Blog Post] - Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy , Hoang M. Le, Yisong Yue, Aaron D. Ames.
A Control Lyapunov Perspective on Episodic Learning via Projection to State Stability
Conference Paper, IEEE Conference on Decision and Control (2019)
[PDF]
Contact Information
meera (at) alumni (dot) caltech (dot) edu