Experiences
January 2023 - Present | Advisor(s): Dr.Victor Fung
Working on inverse design of materials.
Utlizing different atomic descriptors and VAE for designing new materials.
January 2022 - October 2022 | Advisor(s): Dr. Nongnuch Artrith
Working on understanding X-ray absorption spectroscopy (XAS) data using interpretable machine learning.
Looking into advanced techniques to increse the accuracy of prediction using Deep Learning techniques.
September 2021 - January 2022
ZS Associates is a management consulting firm , headquartered in Evanston, Illinois that provides services for clients in healthcare, private equity, and technology.
Working on the consulting side of business by identifying problems using cutting edge data analysis techniques and providing solutions based on Graph Analytics, Graph Neural Network and Knowledge graphs .
Submitted: 1 paper
Undergraduate Student Researcher, Department of Material Science and Engineering, University of Utah
June 2021 - July 2022 | Advisor(s): Dr. Taylor D. Sparks
Developing a deep learning architecture for accurately predicting material properties.
Work presented at: Material Research Society Fall Meet 2021, Boston, Massachusetts (DS02.06.03). Paper soon to be submitted.
Working draft : 1 paper
November 2020 - September 2021 | Advisor(s): Dr. Ram Sarkar
Worked on improving Graph Representational architecture to improve expressiveness, scalability and robustness of GNN for practical use.
Studied GNN based on GNN's inductive biases to boost it's overall accuracy by 2%
Developed GNN-based signature verification. Decreased the training samples by 77% and EER by 10x.
Published: 1 paper; Submitted: 1 paper
