👋 I am the CEO & founder of an early-stage startup in the social/AI space, currently in stealth. My work blends years of expertise in machine learning with a passion for building products that make digital interactions more authentic and meaningful.

👩‍🎓 Before founding my company, I was a PhD candidate in Machine Learning at Columbia University advised by Carl Vondrick, where my research focused on generative models and human-AI interaction. I have published at top conferences (CVPR, ICCV, ECCV) and my work has been supported by the Apple Scholars in AI/ML PhD Fellowship and the Columbia Presidential Fellowship.

👩‍💻 I hold a Master's in Computer Science from Georgia Tech, where I worked on creative AI with Devi Parikh and collaborated with Ani Kembhavi at AI2, and a Bachelor's from COEP in India. I've also interned at University of Tübingen, Meta Reality Labs, UC San Diego, and AiBee. Outside of work, I enjoy practicing and listening to music, playing board games and hiking.

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Selected Research (Archive)

Prior work in generative models, human-AI interaction, and 3D humans.

Google Scholar

  • 🎬 Populating Images with Moving 3D Humans Purva Tendulkar, István Sárándi, Gerard Pons-Moll, Carl Vondrick
    Project Page
    Pre-print 2025
  • 🖥️ How Video Meetings Change Your Expression Sumit Sarin, Utkarsh Mall, Purva Tendulkar, Carl Vondrick
    Paper Project Page Code
    ECCV 2024
  • 🤸 FLEX: Full-Body Grasping Without Full-Body Grasps Purva Tendulkar, Dídac Surís, Carl Vondrick
    Paper Project Page Talk Code Poster
    CVPR 2023
  • 🧗 Landscape Learning for Neural Network Inversion Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
    Paper Blog Post
    ICCV 2023
  • 🗣️ Affective Faces for Goal-Driven Dyadic Communication Scott Geng*, Revant Teotia*, Purva Tendulkar, Sachit Menon, Carl Vondrick
    Paper Project Page
    arXiv 2023
  • 🫣 Revealing Occlusions with 4D Neural Fields Basile Van Hoorick, Purva Tendulkar, Dídac Surís, Dennis Park, Simon Stent, Carl Vondrick
    Paper Project Page Talk Code
    CVPR 2022 (Oral)
  • 🔁 SOrT-ing VQA Models: Contrastive Gradient Learning for Improved Consistency Sameer Dharur, Purva Tendulkar, Dhruv Batra, Devi Parikh, Ramprasaath R. Selvaraju
    Paper Talk Code Poster
    NAACL 2021
  • 🎵 Feel The Music: Automatically Generating A Dance For An Input Song Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi, Devi Parikh
    Paper Talk Code Press Coverage Tech@Meta Article
    ICCC 2020 (Oral)
  • 🕵️ SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Tulio Ribeiro, Besmira Nushi, Ece Kamar
    Paper Talk Dataset
    CVPR 2020 (Oral)
  • 👻 Trick or TReAT: Thematic Reinforcement for Artistic Typography Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh
    Paper Talk Code
    ICCC 2019 (Oral; Best Presentation Award)

Teaching & Mentorship (Archive)

Past roles at Columbia & Barnard.

  • Representation Learning (COMS 6998, TA — Fall '21, '22)
  • Women in Science (mentor — '21-'22)
  • BEARS Mentorship (Barnard — Spring '22)
  • Amazon-SURE Mentorship (Summer '22)