About

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!
Timeline
• July 2026: I have been awarded the K.C. Mahindra Scholarship to pursue higher studies at CMU!.
• Jun 2026: Medmarks workshop version paper accepted at ICML 2026 FM4LS Workshop.
• Apr 2026: Admitted to CMU MLD as an MSML student for Fall 2026!
Publications
Medmarks

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

Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks
Benjamin Warner, ..., Ashish Vashist, et al.
Preprint, 2026
Paper


Geolocalization

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

Beyond Accuracy: Evaluating Visual Grounding In Multimodal Medical Reasoning
Anas Zafar, Leema Krishna Murali, Ashish Vashist
ICLR Workshop (Causal AI-CAO), 2026
Paper Poster


VLM Diagnostics

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

FOD-S2R: A FOD Dataset for Sim2Real Transfer Learning based Object Detection
Ashish Vashist, Qiranul Saadiyean, Suresh Sundaram, Chandra Sekhar Seelamantula
arXiv, 2025
Paper

Affiliations