AI Resident [June 2022 - August 2022] Team:Mineral Conceptualized, implemented, and successfully combined traditional statistical models with state-of-the-art transformer models to develop tools for sustainable agriculture from genomics and time-series data.

Machine Learning Intern [June 2021 - August 2021] Cardiac Outcome Prediction from Multi-Modal Data Leveraging Prior Population Level Characteristics of the Disease. ISMRM 2022.

Mitacs Globalink Intern [June 2016 - August 2016] Department of Computing Science, University of Alberta, Canada Implemented and published one of the early works of using deep learning for deformable registration of MRI brain images.

Mentoring

Advising Activity (Supervision, Conceptualization, Writing, and Editing)

Sarah Wu [2021-Present]

Project: Imaging-genetics approaches for Alzheimer’s disease prediction. Current work is under review for EMBC, 2023.

TA for Signals, Systems and Learning (EN.520.385)[Spring 2020]

Assisted with course preparation, grading, and content delivery.

Mentor at HopHacks 2020

Advised the hackathon teams on tackling both technical and theoretical problems.

Awards

• MICCAI Student Participation Award [2020].
• Department of Electrical and Computer Engineering, JHU, one year PhD fellowship [2017-2018].
• Mitacs Globalink Research Fellowship Award [2016].