About Me

I am a research scientist at Apple working with Vladlen Koltun. I received my PhD in computer science from the Georgia Institute of Technology in 2022. I was advised by Irfan Essa and Dhruv Batra and had the pleasure of working closely with Devi Parikh. My research interests are primarily focused on computer vision and its applications to artificial intelligence. My long-term research goal is to develop fundamental techniques, algorithms, and large-scale systems for robotic assistants. My work focuses on training virtual robots (embodied agents) in simulation and transferring the skills learned to reality to overcome the challenges of real-world training (its slow, and expensive).

In the summer of 2020, I was an intern at Intel working with Vladlen Koltun. In the summer of 2019, I was an intern at FAIR, working with Manolis Savva. In the summer of 2018, I was a research intern at Facebook Reality Labs (FRL) working with Julian Straub.

As an undergraduate, I participated in a 3-2 engineering program with Juniata College and Washington University in St. Louis (WUSTL). While I was at WUSTL, I worked with Yasu Furukawa (now at SFU). I also spent a summer working with Yinzhi Cao (now at JHU) at Lehigh University.

During my PhD, I had the pleasure of mentoring two students, Joel Ye (MS@GT -> CMU PhD Student) and Guillermo Nicolas Grande (MS@GT -> Microsoft), in research projects.

3D Datasets and Fast Simulation for Embodied AI and Robotics

Characterizing Emergent Intelligence

Large-scale Reinforcement Learning

Navigation, Sim2Real, and Robotics

AI Habitat

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DD-PPO

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Emergence of Maps

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Habitat 2.0

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Megaverse

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Replica Dataset

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VLN-CE

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