Our Team
Mission
Queer in AI’s mission is to raise awareness of queer issues in AI/ML, foster a community of queer researchers and celebrate the work of queer scientists. We use “queer” as an umbrella term for people with diverse non-normative sexual orientations, romantic orientations, and/or genders, corresponding to acronyms like LGBTQIA2S+. We also explicitly include those questioning their identities.
Queer in AI was established by queer scientists in AI with the mission to make the AI community a safe and inclusive place that welcomes, supports, and values LGBTQIA2S+ people. We work towards this aim by building a visible community of queer AI scientists through conference workshops, social meetups, conference poster sessions, mentoring programs, graduate application financial aid, and many other initiatives. Another crucial part of our mission is to raise awareness of queer issues in the general AI community and to encourage and highlight research on and solutions to these problems.
Queer in AI’s demographic survey reveals that most queer scientists in our community do not feel completely welcome in conferences or their work environments, with the main reasons being a lack of queer community and role models. Over the past years, Queer in AI has worked towards eliminating these issues, yet the voices of minoritized queer communities, especially transgender, non-binary folks and queer BIPOC folks have still been neglected. Our aim is to highlight issues that these communities face and work with communities to make spaces more inclusive of queer folks.
Contact us
To reach out to admins, please email us at queerinai [at] gmail [dot] com. Please don't send event invites, job opportunities and calls to this email. They should be sent to the mailing list or slack instead.
If you want to send event / speaker invites, advertise call for papers or job opportunities, please send them to queerai [at] googlegroups [dot] com. Priority will be given to those organizations who have supported Queer in AI by sponsoring, donating or volunteering.
Core Organizers
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Pranav (he/they)
Pranav is a PhD student at University of Hamburg researching on AI ethics and inclusive policymaking. At QueerInAI, he organizes social events in NLP conferences, mentors volunteers and sets up DEI and safety initiatives.
Website: pranav-a.github.io -

Ti
Ti is a research fellow at Aalto University, Finland, with research interests from probabilistic modelling and decision-making under uncertainty via transparent/interpretable models and visualizations to applications such as in healthcare, bio and earth sciences. At Queer in AI, Ti organized the first fully-virtual workshop at ICML 2020, is supporting members in cases of conflict or any other concerns, and helps out wherever else is needed.
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Claas (he/him)
Claas is a postdoc at the University of Texas at Austin, where he is still trying to figure out why reinforcement learning is so hard, now with robots! For Queer in AI, he helps with sponsorship coordination and he is organizing workshops and social events at various conferences.
Bsky: @cvoelcker.bsky.social
Website: https://cvoelcker.de -

Danica Sutherland (she/her)
Danica is an Assistant Professor at the University of British Columbia and a Canada CIFAR AI Chair at Amii, working on representation learning and statistical learning theory. At Queer in AI, she helps organize events at AI conferences and to improve trans-inclusive policies.
Website: https://djsutherland.ml/ -

Hetvi
Hetvi is a grad student in AI and is primarily interested in understanding biological systems using mathematics & CS.
Twitter: @vuisnotabot
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Ashwin (they/them)
Ashwin is a queer bahujan activist and researcher in algorithmic fairness and AI ethics. They served as the first DEI Admin for Queer In AI and are currently pursuing graduate studies at Universitat Pompeu Fabra. They help organize research and policy initiatives at Queer In AI.
Twitter: @_ashwxn
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Sharvani (she/her)
Sharvani got her BS in computer science from UCLA in 2021. She has worked on Microsoft Word, two cubesats studying near-Earth space weather phenomena, and various tech advocacy initiatives. At Queer in AI, she works on organizing workshops, graphic design, and the joys + horrors of social media.
Bluesky: @sharvanijha.bsky.social
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Maria Leonor (ML) Pacheco (she/her)
Maria is an Assistant Professor at the University of Colorado Boulder, where she leads the Boulder Language and Social Technologies group. At Queer in AI, she helps organize events and workshops at NLP conferences.
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Shane Storks (he/him)
Shane Storks is a postdoctoral research fellow at the University of Michigan, where his research draws from cognitive science to evaluate and strengthen NLP applications. He served as a Diversity & Inclusion (D&I) Chair for ACL 2025, and has organized Queer in AI workshops and networking events at ACL conferences.
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Sabine Weber (they/them)
Sabine is a queer person who holds PhD from the University of Edinburgh and currently works as a postdoc at the University of Bamberg. They are interested in multilingual NLP, AI ethics, science communication and art. They organized Queer in AI socials and were one of the Social Chairs at NAACL 2021 and D&I chair at EACL 2024 and EACL 2026. They also write the Queer in AI blog.
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Raj Korpan (he/him)
Raj is a gay New Yorker and an Assistant Professor at Hunter College of the City University of New York. His research is in artificial intelligence, human-robot interaction, and machine learning. Currently, he is focused on socially aware robot navigation and explainable AI. He has a Ph.D. in Computer Science from the City University of New York. He has co-organized Queer in AI events at AI conferences, such as AAAI and AAMAS, and co-founded Queer in Robotics.
Website: https://tierlab.commons.gc.cuny.edu/ -

Andrea Sipos (she/her)
Andrea is a research scientist at the German Aerospace Center (DLR) in the Robotics and Mechatronics Center. Her work focuses on manipulation and tactile feedback. Andrea holds a Ph.D. in Robotics from the University of Michigan. She is also a co-founder of Queer in Robotics.
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Luca Soldaini (they/them)
Luca is a queer researcher working on Natural Language Processing (NLP); currently, they are a research scientist at the Allen Institute for Artificial Intelligence (AI2). At Queer In AI, they work on socials and workshops planning for NLP conferences, scholarship programs, and sponsors relations.
Twitter: @soldni
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Maria Ryskina (she/they)
Maria is a postdoctoral researcher at the Vector Institute, working on interdisciplinary approaches to AI. At Queer in AI, they help organize workshops and socials at NLP conferences and run the Graduate Application Aid Program, which supports queer scholars pursuing careers in STEM.
Bsky: @mryskina.bsky.social
Website: https://ryskina.github.io/ -

Nathan Dennler (he/they)
Nathan is a queer postdoctoral researcher at the Massachusetts Institute of Technology, working on human-in-the-loop optimization of robot behaviors, particularly to help users with limited mobility. At Queer in AI, Nathan helps organize social events and workshops across robotics, machine learning, and AI ethics venues.
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Alissa Valentine (she/they)
Alissa is a postdoc at Copenhagen University working on “fairness in precision psychiatry” projects using NLP and EHR. Alissa is an organizer for Queer in AI workshops, socials, mentorship, and loves to help with sticker/swag design.
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Amanda Bertsch (she/her)
Amanda Bertsch (she/her) Amanda is a Ph.D. student at the Language Technologies Institute at Carnegie Mellon University, working on long-context language modeling and inference-time algorithms. At Queer in AI, she helps organize workshops and events at ML+NLP conferences.
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Martin Mundt (he/him)
Martin is a full professor at the University of Bremen, working on lifelong machine learning to make models adaptive and sustainable. Martin has served as diversity & inclusion chair at AAAI-24, CoLLAs-25, and helps to organize Queer in AI workshops and activities.
Website: https://owl-ml.uni-bremen.de -

Carter Buckner (he/him)
Carter is a researcher focusing on privacy-preserving and trustworthy AI. Carter leads policy efforts for Queer in AI.
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Yanan Long (he/they)
Yanan is a research scientist at the University of Chicago with a focus on Bayesian statistics, AI for Science and Health, NLP and AI ethics. At Queer in AI, Yanan helps with organizing workshops/socials at conferences and policy works.
Twitter: @YananLong
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Michelle Lin (she/her)
Michelle is a Masters student at the University of Montreal and Mila - Quebec AI Institute. Her research uses interpretable deep learning, remote sensing, and computer vision for climate change mitigation applications. At Queer in AI, she is on the sponsorship team and helps organize workshops and events.
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Tao Long (he/him)
Tao is a PhD student at Columbia University studying HCI and human–AI interaction design. Tao’s research looks at how AI and agentic systems can better support creativity, collaboration, and everyday decision-making. At Queer in AI, Tao has helped organize and host several social events and workshops in HCI conferences like CHI, UIST, CSCW.
Website: https://iamtaolong.github.io/

