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 using domain knowledge to adapt current and create novel machine learning techniques to analyze and classify genomic 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