Actively Seeking Research Opportunities
I am actively exploring research opportunities spanning a wide range of topics with interdisciplinary of Computer Science and Statistics. My background encompasses interdisciplinary work across statistics, computer science, and applied mathematics. I hold a deep interest in the realms of Efficient and Scalable Machine Learning/Deep Learning, high-performance computing, and Scientific Computing. I am eager to collaborate with individuals from diverse academic, demographic, and ethnic backgrounds, believing strongly in the value of multifaceted perspectives to drive innovation and discovery.
Research Interests
- Scalable & Efficient Machine Learning
- High-Performance Computing & MLSys
- Scientific Computing
Research Projects
In-Progress
- Efficient Dual Coordinate Descent via Low Rank Approximation This project aimed to investigate the potency of reducing communication cost by applying nystrom approximation technique in estimating the low rank gram matrices, the overhead of computation, in dual coordinate descent algorithms
Finished Projects (More details in Research Section)
- Communication-Avoiding Coordinate Descent for ElasticNet and Regularization Path LASSO
- Communication-Avoiding Dual Coordinate Descent Methods for Kernelized Machine Learning
- PalmHeatNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning.
Announcements
Dec. 2023
I’m honored to announce my enrollment in the class of 2024 | Master of Science in Statistics of Duke University!!
Dec. 2023
Merry Christmas!!!
Nov. 2023
I’m pleased to receive honor from UPE scholarship
Oct. 2023
I am thrilled to share my recent achievements in weightlifting: securing 2nd place in Deadlift and 3rd place in Squat at the recent competition. It was an exhilarating experience, and I’m grateful for the support and encouragement from everyone who was there.
May 2023
- URECA Project: Excited to announce the start of my URECA project!