About Me
I am a Research Scientist at DeUmbra. Recently, I completed my PhD in Computer Science and Engineering from Ohio State University working in the Computer Vision Laboratory under Prof. Jim Davis.
Currently, I work on developing an agentic framework for modeling and simulating the real world. Previously, my dissertation focused on knowledge distillation in the image classification setting of computer vision, specifically on the distillation data and temperature parameter. I have also worked on neural network quantization, reinforcement learning, adversarial machine learning, and applied ML/CV (to agricultural engineering). My current interests broadly surround those that involve real world data, interactions, and/or considerations. My primary goal in life is to work on difficult problems and make a positive impact on society through AI/ML.
Current Positions
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Research Scientist
Agents, World Models, and
Geospatial Reasoning -
PhD in CSE
Advisor: Prof. Jim Davis
Focus in Knowledge Distillation
News
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05/2026:
Started a new position as a Research Scientist at DeUmbra -
05/2026:
Graduated from Ohio State University with my PhD in CSE -
04/2026:
Successfully defended my PhD Dissertation, "Understanding the Fundamental Components of Knowledge Distillation" -
03/2026:
1 paper, "A Unified Revisit of Temperature in Classification-Based Knowledge Distillation", uploaded to arXiv -
01/2026:
1 paper, "Assesing the Potential for Catastrophic Failure in Dynamic Post-Training Quantization", accepted to SPIE D+S 2026 -
10/2025:
1 paper, "Assesing the Potential for Catastrophic Failure in Dynamic Post-Training Quantization", uploaded to arXiv -
04/2025:
Successfully passed my PhD candidacy exam -
04/2025:
Recipient of the Graduate Student Teaching (Eleanor Quinlan Memorial) Award -
02/2025:
1 paper, "What Makes a Good Dataset for Knowledge Distillation?", accepted to CVPR 2025 -
11/2024:
1 paper, "What Makes a Good Dataset for Knowledge Distillation?", uploaded to arXiv -
10/2024:
Gave an invited talk on "Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images" to Clairfai -
10/2024:
This upcoming summer I will be returning as a CV Research Intern with GE Aerospace under Dr. Paul Ardis -
05/2024:
This summer I will be working as a CV Research Intern with GE Aerospace under Dr. Paul Ardis -
10/2023:
1 paper, "Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images", uploaded to arXiv -
05/2023:
This summer I will be interning with the Air Force Research Laboratory under Dr. Christopher Liberatore -
07/2022:
1 paper, "Revisiting Batch Norm Initialization", accepted to ECCV 2022 -
10/2021:
1 paper, "Revisiting Batch Norm Initialization", uploaded to arXiv -
09/2020:
Successfully passed my qualification exams -
08/2020:
1 paper, "Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses", accepted to WACV 2021
