{"id":"trapit-bansal","title":"Trapit Bansal","content":"**Trapit Bansal** is an artificial intelligence researcher whose work focuses on reinforcement learning, reasoning, natural language processing, deep learning, and meta-learning. He is a founding member of TBD Lab at Meta, where he works on AI research. Bansal previously worked at OpenAI and was a foundational contributor to the company's o1 reasoning model. [\\[3\\]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0)  [\\[6\\]](#cite-id-555f235d-ce6e-4449-975b-c16da7954de9)  [\\[7\\]](#cite-id-955d83fb-b6b5-4545-b81a-52c7df82042e) \n\n## Education\n\nBansal studied at the Indian Institute of Technology Kanpur (IIT Kanpur) from 2007 to 2012, completing an integrated master's degree in Mathematics and Statistics. [\\[2\\]](#cite-id-d1b5329b-1850-4729-89d8-2efe38ab3acc)  [\\[3\\]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0)  [\\[4\\]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3) \n\nHe later attended the University of Massachusetts Amherst, where he earned an M.S. in Computer Science and a Ph.D. in Computer Science. He studied under Andrew McCallum, and his graduate research focused on natural language processing, deep learning, and meta-learning. [\\[3\\]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0)  [\\[4\\]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3)  [\\[9\\]](#cite-id-ec08787b-1508-4702-b74b-7279ff1371a0) \n\n## Career\n\nBansal began his professional career at Accenture Management Consulting in Gurugram, India, where he worked as an analyst from 2012 to 2013. He subsequently worked at the Indian Institute of Science (IISc) in Bengaluru, conducting research on Bayesian modelling and inference.\n\nDuring his graduate studies, Bansal completed research internships at several technology companies. In 2016, he interned with Facebook's Applied Machine Learning group, working on deep learning methods for natural language processing. He interned at OpenAI in 2017, where his research focused on multi-agent reinforcement learning and meta-learning, and at Google Research in 2018, where he worked on knowledge-graph reasoning. In 2020, he interned at Microsoft Research Montréal and researched self-supervised meta-learning for natural language processing. [\\[4\\]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3)  [\\[9\\]](#cite-id-ec08787b-1508-4702-b74b-7279ff1371a0) \n\n### OpenAI\n\nBansal joined OpenAI as a Member of Technical Staff in January 2022. His work focused substantially on reinforcement learning and AI reasoning. [\\[3\\]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0)  [\\[5\\]](#cite-id-6d704d43-a182-4cfa-b67f-dffc00e1814b) \n\nBansal was involved in the research that led to OpenAI's o1 family of reasoning models. OpenAI officially lists him among the foundational contributors to o1's reasoning research. Bansal has described himself as a co-creator of OpenAI's o-series models. [\\[6\\]](#cite-id-555f235d-ce6e-4449-975b-c16da7954de9)  [\\[7\\]](#cite-id-955d83fb-b6b5-4545-b81a-52c7df82042e) \n\nBefore the release of o1, Bansal worked on reinforcement-learning approaches to reasoning alongside researchers including Ilya Sutskever. TechCrunch reported that he was an important participant in the early reinforcement-learning research that contributed to OpenAI's reasoning-model program. [\\[5\\]](#cite-id-6d704d43-a182-4cfa-b67f-dffc00e1814b) \n\nBansal had previously worked at OpenAI as a research intern in 2017. During that period, he co-authored research on competitive multi-agent reinforcement learning and self-play. The resulting paper, Emergent Complexity via Multi-Agent Competition, examined how agents trained through competition could develop increasingly complex behaviors in simulated environments. [\\[4\\]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3)  [\\[10\\]](#cite-id-83ebe6c1-e48a-4a64-b8c1-946643e59e00) \n\nBansal left OpenAI in June 2025 after approximately three and a half years as a full-time researcher. [\\[3\\]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0)  [\\[5\\]](#cite-id-6d704d43-a182-4cfa-b67f-dffc00e1814b) \n\n### Meta and TBD Lab\n\nBansal joined Meta in July 2025 as the company expanded its efforts in advanced AI and superintelligence research. [\\[1\\]](#cite-id-d00c2aa6-2e2b-4426-a20b-58fd4165cb15)  [\\[3\\]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0)  [\\[5\\]](#cite-id-6d704d43-a182-4cfa-b67f-dffc00e1814b) \n\nAt Meta, Bansal became a founding member of TBD Lab, a research group working on next-generation AI models. His current professional profiles describe his role as AI research at TBD Lab within Meta. [\\[3\\]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0)  [\\[7\\]](#cite-id-955d83fb-b6b5-4545-b81a-52c7df82042e) \n\nHis move came during a period in which Meta was recruiting researchers from organizations including OpenAI, Google DeepMind, Anthropic, and other AI laboratories to strengthen its work on reasoning and advanced foundation models. [\\[5\\]](#cite-id-6d704d43-a182-4cfa-b67f-dffc00e1814b) \n\nIn 2026, Bansal publicly discussed Meta's work on evaluating model reasoning capabilities through international academic competitions. In August 2026, he said that Meta models had been entered into five international STEM Olympiads as an evaluation of their reasoning abilities and had achieved results corresponding to gold medals in all five. According to Bansal, three of the evaluations involved live participation and official grading. [\\[8\\]](#cite-id-d39da487-2512-40fd-b95b-b91871a3dfe9) \n\nEarlier, while discussing the 2026 Asian Physics Olympiad, Bansal described the competition as an evaluation of a Meta model's multimodal and reasoning capabilities. [\\[8\\]](#cite-id-d39da487-2512-40fd-b95b-b91871a3dfe9) \n\n### Research\n\nBansal's research has covered natural language processing, reinforcement learning, meta-learning, knowledge representation, and reasoning systems.\n\nOne of his early OpenAI projects was competitive self-play. In the 2017 paper Emergent Complexity via Multi-Agent Competition, Bansal and collaborators including Jakub Pachocki, Szymon Sidor, [Ilya Sutskever](https://iq.wiki/wiki/ilya-sutskever), and Igor Mordatch demonstrated how competitive environments could provide an automatic curriculum for reinforcement-learning agents and result in increasingly complex learned behaviors. [\\[10\\]](#cite-id-83ebe6c1-e48a-4a64-b8c1-946643e59e00) \n\nBansal also worked on relational reasoning for natural language processing. In RelNet: End-to-End Modeling of Entities & Relations, he and his co-authors introduced a memory-augmented neural-network architecture designed to model entities and relationships within text. [\\[4\\]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3) \n\nHis doctoral research included work on self-supervised meta-learning for few-shot natural language processing. In research published at EMNLP 2020, Bansal and collaborators proposed generating meta-learning tasks from unlabeled text to improve generalization when only small amounts of labeled data are available. [\\[11\\]](#cite-id-dd0574ea-ab34-468a-91ea-5429d24ee890) \n\nHis Ph.D. dissertation, Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data, focused on methods for improving the ability of language models to adapt to new tasks with limited labeled examples. [\\[4\\]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3) \n\n### Reported Meta Compensation\n\nThe precise terms of Bansal's compensation have not been publicly confirmed. Reports have variously described the figure as a salary, signing bonus, or broader compensation package. In August 2026, The Times of India reiterated the reported ₹800 crore figure but explicitly stated that the compensation figures in its article had not been independently verified. [\\[9\\]](#cite-id-ec08787b-1508-4702-b74b-7279ff1371a0) ","summary":"Trapit Bansal is a distinguished AI researcher known for his work in natural language processing, deep learning, and meta-learning. He joined Meta Superintellig...","images":[{"id":"QmZAUNxMACTVdx2DDn92Ry3syQtBbvtCcsGR95L29kyjHs","type":"image/jpeg, image/png"}],"categories":[{"id":"people","title":"People in crypto"}],"tags":[{"id":"Developer"}],"media":[],"metadata":[{"id":"references","value":"[{\"id\":\"d00c2aa6-2e2b-4426-a20b-58fd4165cb15\",\"url\":\"https://economictimes.indiatimes.com/news/new-updates/who-is-trapit-bansal-ex-openai-researcher-joins-meta-superintelligence-labs-with-a-whopping-signing-deal/articleshow/122248193.cms\",\"description\":\"The Economic Times — Who is Trapit Bansal? Ex-OpenAI researcher joins Meta Superintelligence labs\",\"timestamp\":1786932030878},{\"id\":\"d1b5329b-1850-4729-89d8-2efe38ab3acc\",\"url\":\"https://www.jagranjosh.com/general-knowledge/who-is-trapit-bansal-check-education-career-and-other-key-details-1820000392-1\",\"description\":\"Jagran Josh — Who is Trapit Bansal? Indian Origin Set to Join Meta Superintelligence; Education and Career details\",\"timestamp\":1786932030878},{\"id\":\"0e13296a-5c2a-48f4-8b18-2bb62bc44ca0\",\"url\":\"https://www.linkedin.com/in/trapit-bansal-646a3451/\",\"description\":\"Trapit Bansal — LinkedIn profile\",\"timestamp\":1786932030878},{\"id\":\"bf770875-4244-462b-9bbd-99ba1d2be2d3\",\"url\":\"https://trapitbansal.com/\",\"description\":\"Trapit Bansal — Personal website\",\"timestamp\":1786932030878},{\"id\":\"6d704d43-a182-4cfa-b67f-dffc00e1814b\",\"url\":\"https://techcrunch.com/2025/06/26/meta-hires-key-openai-researcher-to-work-on-ai-reasoning-models/\",\"description\":\"TechCrunch — Meta hires key OpenAI researcher to work on AI reasoning models (June 2025)\",\"timestamp\":1786932030878},{\"id\":\"555f235d-ce6e-4449-975b-c16da7954de9\",\"url\":\"https://openai.com/openai-o1-contributions/\",\"description\":\"OpenAI — OpenAI o1 Contributions\",\"timestamp\":1786932030878},{\"id\":\"955d83fb-b6b5-4545-b81a-52c7df82042e\",\"url\":\"https://x.com/TrapitBansal\",\"description\":\"Trapit Bansal — X (Twitter) profile\",\"timestamp\":1786932030878},{\"id\":\"d39da487-2512-40fd-b95b-b91871a3dfe9\",\"url\":\"https://x.com/TrapitBansal/status/2085395706903212106\",\"description\":\"Trapit Bansal — Meta models in international STEM Olympiads (X post)\",\"timestamp\":1786932030878},{\"id\":\"ec08787b-1508-4702-b74b-7279ff1371a0\",\"url\":\"https://timesofindia.indiatimes.com/education/news/why-meta-reportedly-paid-nearly-rs-800-crore-salary-for-this-iit-kanpur-alumnus-the-extraordinary-journey-of-ai-researcher-trapit-bansal/articleshow/133198721.cms\",\"description\":\"The Times of India — Why Meta reportedly paid nearly Rs 800 crore salary for this IIT Kanpur alumnus: The extraordinary journey of AI researcher Trapit Bansal\",\"timestamp\":1786932030878},{\"id\":\"83ebe6c1-e48a-4a64-b8c1-946643e59e00\",\"url\":\"https://arxiv.org/abs/1710.03748\",\"description\":\"Bansal et al. — Emergent Complexity via Multi-Agent Competition (arXiv)\",\"timestamp\":1786932030878},{\"id\":\"dd0574ea-ab34-468a-91ea-5429d24ee890\",\"url\":\"https://arxiv.org/abs/2009.08445\",\"description\":\"Bansal et al. — Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks (arXiv)\",\"timestamp\":1786932030878}]"},{"id":"twitter_profile","value":"https://x.com/TrapitBansal"},{"id":"github_profile","value":"https://github.com/theTB"},{"id":"linkedin_profile","value":"https://www.linkedin.com/in/trapit-bansal-646a3451/"},{"id":"previous_cid","value":"\"https://ipfs.everipedia.org/ipfs/QmTMykGT1x9TpJny6h7nxgovp6eirhHEV9oF2jA81GVCZa\""},{"id":"commit-message","value":"\"Updated wiki: removed Superintelligence Labs Jul 2025, added Superintellig .., tags[AI,Developers]->[Developer], category->People in crypto, refs3->11\""},{"id":"previous_cid","value":"QmTMykGT1x9TpJny6h7nxgovp6eirhHEV9oF2jA81GVCZa"}],"events":[],"user":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"author":{"id":"0x8AF7a19a26d8FBC48dEfB35AEfb15Ec8c407f889"},"operator":{"id":"0x1E23b34d3106F0C1c74D17f2Cd0F65cdb039b138"},"language":"en","version":1,"linkedWikis":{"blockchains":[],"founders":[],"speakers":[]},"recentActivity":"{\"items\":[{\"id\":\"c6eac59d-798c-46f9-a379-9a6e808e2e86\",\"title\":\"Trapit Bansal\",\"description\":\"Trapit Bansal is a distinguished AI researcher known for his work in natural language processing, deep learning, and meta-learning. He joined Meta Superintellig...\",\"timestamp\":\"2026-08-17T02:23:05.948Z\",\"category\":\"People in crypto\",\"status\":{\"icon\":\"RiGlobalLine\",\"label\":\"Wiki Updated\",\"iconClassName\":\"text-green-500\"},\"user\":{\"name\":\"0x8AF7a19a26d8FBC48dEfB35AEfb15Ec8c407f889\",\"address\":\"0x1E23b34d3106F0C1c74D17f2Cd0F65cdb039b138\"},\"button\":{\"label\":\"View Summary\",\"icon\":\"RiFileTextLine\"},\"summarySections\":[{\"title\":\"Title\",\"subtitle\":\"Title text changed\",\"variant\":\"modified\",\"changeCount\":1,\"changes\":[\"Changed title from \\\"people\\\" to \\\"People in crypto\\\"\"]},{\"title\":\"Content\",\"subtitle\":\"Main article content was rewritten and reorganized; multiple sections updated or replaced\",\"variant\":\"modified\",\"changeCount\":7,\"changes\":[\"Lead/Intro: Rewrote lead to describe Bansal as a founding member of TBD Lab at Meta, note prior OpenAI work and foundational contribution to OpenAI's o1 reasoning model [[3]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0) [[6]](#cite-id-555f235d-ce6e-4449-975b-c16da7954de9) [[7]](#cite-id-955d83fb-b6b5-4545-b81a-52c7df82042e)\",\"Education: Rewrote and expanded education section to specify IIT Kanpur (integrated M.Sc. in Mathematics & Statistics) and University of Massachusetts Amherst (M.S. and Ph.D., studied under Andrew McCallum), added supporting references [[2]](#cite-id-d1b5329b-1850-4729-89d8-2efe38ab3acc) [[3]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0) [[4]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3) [[9]](#cite-id-ec08787b-1508-4702-b74b-7279ff1371a0)\",\"Career (early & internships): Rewrote career section describing Accenture analyst role and multiple research internships (Facebook 2016, OpenAI 2017, Google 2018, Microsoft Research 2020) and IISc work, with citations [[4]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3) [[9]](#cite-id-ec08787b-1508-4702-b74b-7279ff1371a0)\",\"OpenAI: Expanded OpenAI section to detail full-time role (Member of Technical Staff, Jan 2022–Jun 2025), involvement in reinforcement-learning approaches to reasoning, contributions to the o1 family of models and earlier 2017 intern research (Emergent Complexity via Multi-Agent Competition), with multiple citations [[3]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0) [[5]](#cite-id-6d704d43-a182-4cfa-b67f-dffc00e1814b) [[6]](#cite-id-555f235d-ce6e-4449-975b-c16da7954de9) [[7]](#cite-id-955d83fb-b6b5-4545-b81a-52c7df82042e) [[4]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3) [[10]](#cite-id-83ebe6c1-e48a-4a64-b8c1-946643e59e00)\",\"Meta and TBD Lab: Added a new section describing joining Meta in July 2025, role as a founding member of TBD Lab, broader context about Meta recruiting researchers, and later public discussion of Meta models in international STEM Olympiads (2026) [[1]](#cite-id-d00c2aa6-2e2b-4426-a20b-58fd4165cb15) [[3]](#cite-id-0e13296a-5c2a-48f4-8b18-2bb62bc44ca0) [[5]](#cite-id-6d704d43-a182-4cfa-b67f-dffc00e1814b) [[7]](#cite-id-955d83fb-b6b5-4545-b81a-52c7df82042e) [[8]](#cite-id-d39da487-2512-40fd-b95b-b91871a3dfe9)\",\"Research: Updated research section summarizing work areas (NLP, reinforcement learning, meta-learning, knowledge representation) and highlighted specific papers/projects (RelNet, self-supervised meta-learning, Emergent Complexity) [[10]](#cite-id-83ebe6c1-e48a-4a64-b8c1-946643e59e00) [[4]](#cite-id-bf770875-4244-462b-9bbd-99ba1d2be2d3) [[11]](#cite-id-dd0574ea-ab34-468a-91ea-5429d24ee890)\",\"Reported Meta Compensation: Added a paragraph noting that reported compensation figures (₹800 crore) have not been independently verified and cited The Times of India restatement [[9]](#cite-id-ec08787b-1508-4702-b74b-7279ff1371a0)\"]},{\"title\":\"ID\",\"subtitle\":\"Content identifier (id) value changed\",\"variant\":\"modified\",\"changeCount\":1,\"changes\":[\"Changed id from \\\"QmPgfpppeqnPMddQQ3tYs2UdXYitToRCMA2T7jogBzVMJz\\\" to \\\"QmZAUNxMACTVdx2DDn92Ry3syQtBbvtCcsGR95L29kyjHs\\\"\"]},{\"title\":\"Speakers\",\"subtitle\":\"Speakers field removed\",\"variant\":\"removed\",\"changeCount\":1,\"changes\":[\"Removed empty speakers array (\\\"speakers\\\": [])\"]},{\"title\":\"References\",\"subtitle\":\"Reference list replaced and expanded\",\"variant\":\"modified\",\"changeCount\":14,\"changes\":[\"Removed reference: id \\\"8IlYg734Hk\\\" — Economic Times article on Trapit Bansal (URL previously: https://economictimes.indiatimes.com/news/new-updates/who-is-trapit-bansal-ex-openai-researcher-joins-meta-superintelligence-labs-with-a-whopping-signing-deal/articleshow/122248193.cms?from=mdr)\",\"Removed reference: id \\\"kPAL61aehT\\\" — Jagran Josh: Who is Trapit Bansal? Indian Origin Set to Join Meta Superintelligence; Check Education, Career Details (URL previously: https://www.jagranjosh.com/general-knowledge/who-is-trapit-bansal-check-education-career-and-other-key-details-1820000392-1)\",\"Removed reference: id \\\"TfLE7CU6cs\\\" — LinkedIn: Trapit Bansal (URL previously: https://www.linkedin.com/in/trapit-bansal-646a3451/)\",\"Added reference: id \\\"d00c2aa6-2e2b-4426-a20b-58fd4165cb15\\\" — The Economic Times — Who is Trapit Bansal? Ex-OpenAI researcher joins Meta Superintelligence labs (https://economictimes.indiatimes.com/news/new-updates/who-is-trapit-bansal-ex-openai-researcher-joins-meta-superintelligence-labs-with-a-whopping-signing-deal/articleshow/122248193.cms)\",\"Added reference: id \\\"d1b5329b-1850-4729-89d8-2efe38ab3acc\\\" — Jagran Josh — Who is Trapit Bansal? Indian Origin Set to Join Meta Superintelligence; Education and Career details (https://www.jagranjosh.com/general-knowledge/who-is-trapit-bansal-check-education-career-and-other-key-details-1820000392-1)\",\"Added reference: id \\\"0e13296a-5c2a-48f4-8b18-2bb62bc44ca0\\\" — Trapit Bansal — LinkedIn profile (https://www.linkedin.com/in/trapit-bansal-646a3451/)\",\"Added reference: id \\\"bf770875-4244-462b-9bbd-99ba1d2be2d3\\\" — Trapit Bansal — Personal website (https://trapitbansal.com/)\",\"Added reference: id \\\"6d704d43-a182-4cfa-b67f-dffc00e1814b\\\" — TechCrunch — Meta hires key OpenAI researcher to work on AI reasoning models (June 2025) (https://techcrunch.com/2025/06/26/meta-hires-key-openai-researcher-to-work-on-ai-reasoning-models/)\",\"Added reference: id \\\"555f235d-ce6e-4449-975b-c16da7954de9\\\" — OpenAI — OpenAI o1 Contributions (https://openai.com/openai-o1-contributions/)\",\"Added reference: id \\\"955d83fb-b6b5-4545-b81a-52c7df82042e\\\" — Trapit Bansal — X (Twitter) profile (https://x.com/TrapitBansal)\",\"Added reference: id \\\"d39da487-2512-40fd-b95b-b91871a3dfe9\\\" — Trapit Bansal — Meta models in international STEM Olympiads (X post) (https://x.com/TrapitBansal/status/2085395706903212106)\",\"Added reference: id \\\"ec08787b-1508-4702-b74b-7279ff1371a0\\\" — The Times of India — Why Meta reportedly paid nearly Rs 800 crore salary for this IIT Kanpur alumnus (https://timesofindia.indiatimes.com/education/news/why-meta-reportedly-paid-nearly-rs-800-crore-salary-for-this-iit-kanpur-alumnus-the-extraordinary-journey-of-ai-researcher-trapit-bansal/articleshow/133198721.cms)\",\"Added reference: id \\\"83ebe6c1-e48a-4a64-b8c1-946643e59e00\\\" — Bansal et al. — Emergent Complexity via Multi-Agent Competition (arXiv: https://arxiv.org/abs/1710.03748)\",\"Added reference: id \\\"dd0574ea-ab34-468a-91ea-5429d24ee890\\\" — Bansal et al. — Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks (arXiv: https://arxiv.org/abs/2009.08445)\"]},{\"title\":\"Metadata\",\"subtitle\":\"New revision metrics/metadata fields were added\",\"variant\":\"added\",\"changeCount\":4,\"changes\":[\"Added metadata: \\\"words-changed\\\" = \\\"1\\\"\",\"Added metadata: \\\"percent-changed\\\" = \\\"0.22\\\"\",\"Added metadata: \\\"blocks-changed\\\" = \\\"content, tags, summary\\\"\",\"Added metadata: \\\"wiki-score\\\" = \\\"47\\\"\"]},{\"title\":\"Summary\",\"subtitle\":\"Summary text was replaced/shortened\",\"variant\":\"modified\",\"changeCount\":1,\"changes\":[\"Replaced full summary \\\"Trapit Bansal is a distinguished AI researcher known for his work in natural language processing, deep learning, and meta-learning. He joined Meta Superintelligence Labs in July 2025.\\\" with a shortened/truncated summary \\\"Trapit Bansal is a distinguished AI researcher known for his work in natural language processing, deep learning, and meta-learning. He joined Meta Superintellig...\\\"\"]},{\"title\":\"Tags\",\"subtitle\":\"Tag identifiers updated\",\"variant\":\"modified\",\"changeCount\":4,\"changes\":[\"Removed tag id \\\"AI\\\"\",\"Removed tag id \\\"Developers\\\"\",\"Added tag id \\\"AI Token\\\"\",\"Added tag id \\\"Developer\\\"\"]}]}]}"}