Hello! My name is Ashish Vashist. I am an incoming MS in Machine Learning student at
Carnegie Mellon University. I am currently a researcher at
Cohere for AI Community, working on generalized VLA models for world models.
Previously, I was working as a Pre-Doc Researcher at the
Indian Institute of Science, Bangalore, on VLMs and Sim2Real systems under Prof.
Suresh Sundaram. My projects include developing robust object detection systems for safety-critical aerospace applications in collaboration with
Boeing, and building reasoning-based VLMs for atmospheric turbulence mitigation.
I also collaborated with Prof.
Shruti Vyas at
University of Central Florida on geographic domain shift. I worked at
Carnegie Mellon University with Prof.
Min Xu on 3D cryo-electron tomography. During my undergraduate, I also worked at the
National University of Singapore with Prof.
Luo Wei, Birla Institute of Technology, Indian Institute of Information Technology Allahabad, and Deep Forest Sciences as part of my Google Summer of Code project.
I founded
CORD.ai, a non-profit research community connecting underserved students with researchers at top institutions worldwide, because I kept seeing talented students asking "How do I get into research?" and just needed guidance and access.
When I am not working on research, you will find me at the swimming pool, listening to
Business Movers, learning new languages, or defending why Rohit Sharma's pull shot is the most elegant thing cricket has ever produced.
I'd love to chat about AI or collaborate on projects, so feel free to reach out for a virtual coffee chat!
Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMs
Anas Zafar, Leema Krishna Murali, Siddhant Bharadwaj, Ashish Vashist, Jia Wu.
Preprint, 2026
Paper
Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks
Benjamin Warner, ..., Ashish Vashist, et al.
Preprint, 2026
Paper
Where Do Vision-Language Models Fail? World Scale Analysis for Image Geolocalization
Siddhant Bharadwaj, Ashish Vashist, Fahimul Aleem, Shruti Vyas
CVPR Workshop (Earthvision), 2026
Paper
Poster
Beyond Accuracy: Evaluating Visual Grounding In Multimodal Medical Reasoning
Anas Zafar, Leema Krishna Murali, Ashish Vashist
ICLR Workshop (Causal AI-CAO), 2026
Paper
Poster
Multiscale Diagnostics of Visual Language Models
Siddhant Bharadwaj, Ashish Vashist, Mohd Azfar, Rohit Kumar Salla, Divyansh Verma, Ramya Manasa Amancherla
ICCV Workshop (CV4DC), 2025
Paper
FOD-S2R: A FOD Dataset for Sim2Real Transfer Learning based Object Detection
Ashish Vashist, Qiranul Saadiyean, Suresh Sundaram, Chandra Sekhar Seelamantula
arXiv, 2025
Paper