Queer in AI @ NeurIPS 2025: Organizers

• Jaidev Shriram (he/him) jkariyatt@ucsd.edu: Jaidev is a second-year MS student in Computer Science at the University of California, San Diego. His research interests lie in the intersection of computer vision and HCI, focusing on interdisciplinary problems. Specifically, he explores the application of modern generative 2D/3D techniques to develop novel user experiences. He has previously helped organize the Queer in AI workshop at NeurIPS 2022 and 2023.

• Sarthak Arora (he/any) sarthakvarora@gmail.com: Sarthak is a Climate ML researcher working on problems around wildfires, river remediation and powerplant emissions using Computer Vision algorithms. At Queer in AI, Sarthak has helped organize multiple workshops and socials, while also focusing on policy research around AI harms.

• Megan Richards (she/her) meganrichards.research@gmail.com: Megan is a Computer Science PhD student at New York University Courant Institute for Mathematical Sciences. Her work focuses on reliable machine learning, with the goal of making models more consistent, representative, and fair. 

• Arjun Subramonian (they/them) arjunsub@cs.ucla.edu: Arjun is a PhD candidate at the University of California, Los Angeles. They research inclusive and critical approaches to graph learning and natural language processing, including fairness, justice, and ethics. They have been a Queer in AI core organizer for four years, organizing workshops and socials at various ML conferences.

• Sharvani Jha (she/her) sharvanijha@ucla.edu Sharvani is a software engineer at Microsoft. She got her B.S. in Computer Science from UCLA in 2021. She enjoys queer community building, from founding a queer collegiate hackathon to organizing socials + workshops for Queer in AI.

• Iheb Belgacem (he/him): Iheb is a Research Engineer at Sony. He earned his Master’s degree in Electrical Engineering from TU Munich and CentraleSupélec. His research focuses on diffusion models and 3D human modeling.

• Michelle Lin (she/her): Michelle is a Research Assistant and Masters student at the University of Montreal and Mila - Quebec AI Institute. Her research uses deep learning, remote sensing, and computer vision for climate change mitigation applications. At Queer in AI, she helps organize workshops and events.

• Yanan Long (he/they): Yanan is a research data scientist at the University of Chicago. His research spans applied Bayesian statistics, geometric deep learning, natural language processing and AI ethics, with a thematic focus on biomedicine and healthcare. At Queer in AI, he has been a core organizer for a year and contributes to organizing workshops at multiple ML/AI workshops.

• Ruchira Ray (she/they) (website link) is an Applied AI Researcher at rStream, where she develops AI systems for on-site waste detection and sorting. Her interests span robotics perception, especially vision and audio, and the social implications of robotics.  She has previously worked on audio anti-spoofing at Samsung, controlled data generation at EPFL and social impacts of robotic automation in households at UT Austin. Ruchira enjoys organising workshops for Queer in AI and Queer in Robotics.

• Vishal Dey (he/him) dey.78@buckeyemail.osu.edu: Vishal is a Ph.D. candidate in Computer Science and Engineering at The Ohio State University. His research interests primarily include Transfer Learning, Ranking and AI for Science with applications in molecular machine learning and drug discovery. He is passionate about leveraging AI for social good and fostering a more socially inclusive scientific community. He was one of the organizers of the Queer in AI workshops at NeurIPS 2023 and ICML 2024.

• Bruna Bazaluk (she/her) (bazaluk [at] ime.usp.br) Bruna is a Masters student at University of São Paulo, in Brazil. She got her Bsc in Computer Science from the same institution in 2022. Her research focus is the intersection between Causal Inference and Large Language Models.

• Ankush Gupta (he/they) ankushg0405@gmail.com Ankush is a final-year B.Tech student in Computer Science at IIIT-Delhi. He focuses his research on Human-Centered AI and edge computing. His research involves utilising deep learning and natural language processing to develop algorithms that improve human interaction and mitigate user biases to make AI systems more inclusive and effective.