CV

PhD Candidate in Information Technology and Electrical Engineering

ETH Zurich - Institute of Neuroinformatics

• Developing novel deep learning approaches for controlling neural activity in visual prostheses
• Created end-to-end optimization framework for prosthetic vision using spiking neural network
• Built method for improving generalization in RL through regulation of Bayesian neural networks
• Leading development on automated speech recognition tool for children with speech impairments

Data Scientist & Software Engineer

Amazon Robotics

• Utilized reinforcement learning policy techniques to improve sortation center throughput
• Developed adaptive sampling evolutionary algorithm for optimizing fulfillment center maps
• Designed and developed data compute engine and data lake using Elastic Map Reduce cluster
• Simulated new robotic solutions and calculated impact at fulfillment centers

Strategy and Modeling Summer Analyst

Morgan Stanley Quantitative Finance

• Developed chat-bot assistant to facilitate traders' data processing using common language (NLP)
• Implemented hierarchical clustering algorithm to automate trade recommendations
• Conducted technical research for trade flow prediction based on client correlation algorithm

Chief Technology Officer

Suna Breakfast

• Built startup providing affordable breakfast delivery options to Cornell students
• Directed a 20-person team in building React Native applications and backend in AWS

PhD

ETH Zurich - Institute of Neuroinformatics

Information Technology and Electrical Engineering

Masters of Science

University of California Los Angeles

Electrical and Computer Engineering

Bachelor of Science

Cornell University

Computer Science

Meinig Family Cornell National Scholar

Cornell University

Morgan Stanley Robert B. Fisher Scholar

Morgan Stanley

DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations

Neural Information Processing Systems (NeurIPS)

End-to-end Optimization of Prosthetic Vision using a Hybrid Spiking Neural Network

International Symposium on Circuits and Systems

In review

Bio-inspired parameter reuse: Exploiting inter-frame representation similarity

UniReps Neural Information Processing Systems (NeurIPS) Workshop

Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

A Computational Design and Evaluation Tool for 3D Structures with Planar Surfaces

International Conference on Robotics and Automation (ICRA)

Can Interactive Systems Be Designed for Conviviality?

ACM Conference on Designing Interactive Systems

Pediatric Oncology Research Assistant

Dana Farber Cancer Institute

• Developed pipeline for automating analysis of chip-seq and RNA-seq data
• Interacted with team of scientists to build tools that speed up production of results

Speech Recognition for Children with Speech Impairments

Developed tool for improving speech recognition accuracy in children with speech impairments

• Implemented Whisper model with bayesian mechanism to improve accuracy on small datasets
• Coordinated team of 5 students to develop tool for real-time speech recognition

Autonomous Bicycle Project

Co-founded and led software team for autonomous bicycle development

• Built object avoidance system using SLAM algorithm in ROS with TX-1 and ZED stereo camera
• Managed team of 12 students working to create centralized code structure across 4 sub-teams