Soham Chitnis

I am a first year Masters student at Courant Institute of Mathematical Sciences, New York University (NYU) studying Computer Science with AI Specialization. I graduated from Birla Institute of Technology & Science Pilani (BITS Pilani) in Computer Science with a minor in Data Science.
My research interests are Computer Vision, Deep Learning, Natural Language Processing, Machine Learning. In general I am interested in representation learning, multimodal models, world models, reasoning in models. I also like to work on Applied AI in domains such as Healthcare, Remote Sensing.
I am currently exploring training paradigms for Joint-Embedding Predictive Models (JEPA) and Hierarchical JEPA at CILVR Lab, NYU with Wancong Zhang and Vlad Sobal.
At APPCAIR, I have worked on developing LLM-based agents for review generation of research papers. In my undergraduate thesis at TCS Research, I explored grounding large language models for Chart Understanding. I also investigated the impact of language-image pre-training of the visual encoder on the Chart Visual Question Answering (Chart VQA) task. I have worked on developing a deep learning-based model for cancer diagnosis using histopathology images and the generation of novel drug molecules for cancer cure using Deep Graph Generators. I have worked on Hyperspectral Images for various downstream tasks. I am a member of Society for Artificial Intelligence and Deep Learning. I am looking for Summer Internships for 2025.
I am fortunate to have been guided by Prof. Ashwin Srinivasan, Prof. Tanmay Verlekar, Dr. Tirtharaj Dash at APPCAIR, Dr. Sidong Liu at Macquaire University, Dr. Manasi Patwardhan at TCS Research and Prof. Faisal Qureshi at Ontario Tech University.
news
Jan 21, 2025 | Joined CILVR Lab, New York University as Graduate Student Researcher. |
---|---|
Sep 3, 2024 | Joined Courant Institute of Mathematical Sciences, New York University for Masters in Computer Science |
Jun 29, 2024 | ${\tt{AutoRef}\ }$: Generating Refinements of Reviews Given Guidelines accepted at the Scholarly Document Processing Workshop, ACL 2024 |
Mar 16, 2024 | SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing accepted as Oral Presentation at IGARSS 2024 |
Jan 18, 2024 | Teaching Assistant for the course Computer Networks offered by Dept. C.S. & IS BITS Pilani. |
Sep 6, 2023 | Joined TCS Research as a Research Intern |
Jun 7, 2023 | Paper accepted as an Oral-Presentation at EMBC 2023. |
Jun 5, 2023 | Joined Visual Computing Lab, Ontario Tech University, Canada as a Visiting Scholar. |
Apr 11, 2023 | Paper accepted at EMBC 2023: Preprint |
Feb 13, 2023 | Awarded MITACS Globalink Research Internship Scholarship for the summer internship at Visual Computing Lab, Ontario Tech University. |
Oct 1, 2022 | Joined the Kwon Lab for Low Vision and Brain Research, Northeastern University as a Research Assistant. |
Jul 1, 2022 | Started as Instructor for the course Introduction to Deep Learning by Quark Controls, BITS Pilani Goa. |
Jul 1, 2022 | Attending the 6th Summer School on AI with focus on Computer Vision & Machine Learning. |
May 30, 2022 | Joined CSIR-CEERI Pilani as Research Intern. |
May 1, 2022 | Teaching Assistant for course Computer Programming offered by Dept. C.S. & IS BITS Pilani. |
Feb 1, 2022 | Joined APP Centre for AI Research, BITS Pilani as Undergraduate Research Collaborator. |