A passionate Deep Learning practitioner and a photography enthusiast.
I'm a CS PhD student at the University of Virginia (UVA) working on deep learning for healthcare applications in mental health.
Before that, I was a full-time researcher at NYU working on Reinforcement Learning and Graph ML, with a background in CV, RL and embodied AI, including applications in healthcare.
My recent work includes training reinforcement learning agents for control tasks, applying deep learning to visual data and exploring graph-based models for structured prediction.
Contact Information: slamichhane [at] virginia [dot] edu
Last updated: Oct 29, 2026
2026 - Present
University of Virginia
PhD Student
2025 - 2026
NYU Abu Dhabi
Full-time Research Scientist
2024 - 2026
NYU Abu Dhabi
Undergraduate Researcher
2023 - 2025
NYU Abu Dhabi
Research Assistant
2024 - 2025
NYU Tandon School of Engineering
Researcher
2023 - 2024
NYU
Summer Research Assistant
2022 - 2023
NYU Abu Dhabi
Research Assistant
A selection of my work in ML, RL, Robotics and EAI.
IonQ iQuHACK 2024 In-Person Challenge
A quantum and ML-powered system that optimizes bus station placement and routing to enhance public transport efficiency.
🌦️🎵 WeatherBeats: Your Weather, Your Playlist 🎵🌦️ Discover the perfect playlist for your current weather with WeatherBeats. Just enter your city, and we'll sync the beats with the skies. Enjoy music that matches your mood!
A polar-coordinate drawing device that replicates user-created p5.js sketches by physically rendering them with artistic, Eulerian-inspired precision.
A full-stack event ticket booking web app with user authentication, event management, and seamless ticket purchasing.
F-APM: A fire area prediction model using Transformers, trained on simulated datasets from satellite images and weather data. It predicts fire progression and compares predicted vs. actual fire spread visually.
beeHIVe: AI-powered platform for HIV drug discovery and prediction.
A privacy-first text diff viewer that never sends your data anywhere. Compare text instantly with options to ignore whitespace or toggle case sensitivity.
Using computer vision techniques to analyze and interpret visual data.
Developing agents that navigate complex environments and learn from interactions.
Creating intelligent systems that interact with the physical world.
Capturing moments and perspectives that convey visual stories.

Abu Dhabi, UAE • 2023

New York, USA • 2022

Abu Dhabi, UAE • 2023

New York, USA • 2022

Pokhara, Nepal • 2022

Abu Dhabi, UAE • 2023

Dubai, UAE • 2022

Dubai, UAE • 2023

Abu Dhabi, UAE • 2023

Abu Dhabi, UAE • 2023

New Jersey, USA • 2023

Florence, Italy • 2023

Champaign, Illinois, USA • 2023

Florence, Italy • 2025

Giza, Egypt • 2024