About
Hello, I’m Aadarsha
I’m a Master’s student in Computer Science at Washington University in St. Louis, passionate about applying AI and machine learning to healthcare challenges. My thesis research focuses on using domain-adversarial learning to detect preclinical Alzheimer’s disease through driving behavior analysis.
Beyond research, I work as a Graduate Assistant with WashU’s Taylor Family Center for Student Success, where I combine my technical skills with my commitment to student support—managing the center’s website, leading data initiatives, and developing training resources.
What I’m Working On
Research: Building a Domain Adversarial Neural Network (DANN) to create vehicle-agnostic cognitive signatures from naturalistic driving data for early Alzheimer’s detection.
Student Affairs: Administering web systems, designing data workflows, and creating documentation to support first-generation and limited-income student programs.
Leadership: Serving as Vice President of the Graduate-Professional Council Chamber and on three university advisory boards (Student Affairs, Career Engagement, and Bauer Leaders Academy).
Featured Projects
Multimodal Alzheimer’s Prediction — Combined CNNs for MRI analysis with clinical data models for early detection, documented in NeurIPS format.
Datacenter Cooling Optimization — Applied deep reinforcement learning (DDQN, PPO, SAC) to achieve 35.8% energy efficiency improvement.
Interactive Storybook — Full-stack application with Vue.js, Node.js, and MongoDB featuring AI-powered story generation via OpenAI API.
Check out more on my Projects page.
Background
I’m currently completing my M.S. in Computer Science at WashU (expected May 2026), with coursework in AI for Health, Deep Learning, Computer Vision, and Computational Biology. I hold a B.A. in Computer Science & Data Analytics from Ohio Wesleyan University, where I was recognized with the Golden Bishop Award and Mortar Board membership.
Previously, I interned as an AI Engineer at Crittero, Inc. and as a Data Analyst at Lab714, where I built full-stack applications and delivered data-driven insights.
Let’s Connect
I’m always interested in collaborating on projects at the intersection of AI and social impact. Feel free to reach out or explore my CV for more details.