About me
- I completed Ph.D. in Computer Science, Machine Learning at University of Florida under the supervision of Dr.Kejun Huang.
- I was a Student Researcher at Google for Spring 2023, working on state of the art NLP benchmarks and building further interesting models.
- I was a Research Intern at Google in Fall 2022, working with Security, Privacy and Anti-Abuse team using state of the art NLP models and working on building yet another interesting one!
- I was Applied Science Intern at Amazon in Summer 2022, working on recommendation systems with Amazon Kids Personalization team.
- I was Machine Learning Intern at IQVIA during Summer 2021, working on developing machine learning models for improving health care services.
- I got my M.Sc. Degree in Computer Science from University of Florida (December 2020).
- My Ph.D research is based on but not limited to
- theoretical machine learning
- matrix/tensor optimization
- optimization algorithms.
News:
- (August 2023) I graduated! Officially Ph.D.
- (July 2023) Our paper Vulture got accepted in ACM-BCB 2023! (Soon the link will be shared.)
- (July 2023) I defended my PhD Dissertation.
- (December 2022) I completed my PhD proposal. I am officially a PhD Candidate.
- (November 2022) Our paper is published in Transactions on Machine Learning Research (TMLR) Journal! Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation
- (August 2022) We got the best student paper award! Congratulations team! Please check our paper and contact me if you are interested in having a talk! FiT: fiber-based tensor completion for drug repurposing
- (August 2022) I presented our paper FiT: fiber-based tensor completion for drug repurposing!
- (July 2022) I got CNB-MAC Travel Award 2022! I will be attending the CNB-MAC workshop in ACM-BCB 2022, Chicago, USA!
- (April 2022) I got Gartner Group Graduate Fellowship! Thanks to everyone who has supported the process.