experience

 Research Assistant

• Using Hypergraph GNNs to predict trigenic interactions in the yeast genome, specifically those with ESM protein structural significance
• Applying Gaussian Processes to pair our model's predictions with an uncertainty score

 Dec 2021 - Aug 2022

 Carnegie Mellon University, PA

 Research Assistant

• Developed CLARIFY, a method for refinining extracellular and intracellular interactions with graph neural networks and Spatial Transcriptomics data
• Accepted for oral presentation at ISMB
• Recieved best poster award at AWSOM, PURA Salary Award, and PURA Travel Award
• Benchmarking current Spatial Transcriptomics + CCI methods

 Nov 2021 - Dec 2023

 Atlanta, GA

 Bioinformatics Research Intern

• Provisional patent for creating metaDetect: a computer vision algorithm for identifying metaphase spreads in stained WSI of cancer cells using image filtering techniques
• Created automated pipeline for whole slide imaging → metaDetect (CV) → ecDNA quantification (CNN)

 Aug 2020 - Dec 2021

 San Diego, CA

• GPA - 4.0/4.0
• Specializing in Machine Learning/Theory
• Head TA for Graduate Deep Learning (CS 7643)

 Aug 2020 - Dec 2023

 Atlanta, GA