Aditya Grover
Co-founder and CTO of Inception; Assistant Professor of Computer Science at UCLA leading the MINT group
- Co-founder and CTO, Inception1
- Assistant Professor of Computer Science, leading the Machine Intelligence (MINT) group, UCLA1
Aditya Grover is a co-founder and the CTO of Inception, a company developing fast, parallel large language models based on diffusion, and an Assistant Professor of Computer Science at UCLA, where Grover leads the Machine Intelligence (MINT) group. Grover's research sits at the intersection of generative models, reinforcement learning and applications to scientific discovery.1
Career
Grover's site lists earlier research work at Google DeepMind, Microsoft Research and OpenAI, and a gap year as a research scientist at Meta's Fundamental AI Research group.1
Grover now leads the MINT group at UCLA and is co-founder and CTO of Inception, whose team launched Mercury, a family of commercial-scale diffusion language models.13
Research
With Jure Leskovec, Grover co-authored node2vec, a method for learning feature representations of nodes in networks. Later work includes the Decision Transformer, which treats reinforcement learning as sequence modeling, and ClimaX and Stormer for machine-learning weather forecasting.5461
Grover is also the senior author of d1, a paper on scaling reasoning in diffusion language models through reinforcement learning.7
Work
Mercury (external site: arxiv.org)Proprietary product
Senior author of the 2025 Mercury report on Inception's commercial-scale diffusion language models, which are trained to predict multiple tokens in parallel.31
Decision Transformer (external site: arxiv.org)Published research
Co-author of the 2021 Decision Transformer paper, which casts reinforcement learning as conditional sequence modeling with a transformer.4
ClimaX (external site: arxiv.org)Published research
Senior author of ClimaX, a 2023 foundation model for weather and climate.6
Career timeline
Jul 3, 2016
Co-authored node2vec, a paper on scalable feature learning for networks.5
Jun 2, 2021
Co-authored the Decision Transformer paper on reinforcement learning via sequence modeling.4
Jan 24, 2023
Was the senior author of ClimaX, a foundation model for weather and climate.6
Apr 16, 2025
Was the senior author of d1, on scaling reasoning in diffusion LLMs with reinforcement learning.7
Jun 17, 2025
Was a senior author of the Mercury report on Inception's diffusion language models.3
Other documented roles
Roles the sources document but that are not confirmed as current.
- Research scientist during a gap year, Meta Fundamental AI Research (FAIR)1
Honors and recognition
- ACM SIGKDD Doctoral Dissertation Award · ACM SIGKDD, 20212
- NeurIPS Outstanding Paper Award · Conference on Neural Information Processing Systems, 20212
- Kavli Fellowship · US National Academy of Sciences, 20232
- NSF CAREER Award · National Science Foundation, 20242
- AI2050 Early Career Fellowship · Schmidt Sciences, 20242
- IJCAI Computers and Thought Award · International Joint Conferences on Artificial Intelligence, 20252
- Okawa Foundation Research Award · Okawa Foundation, 20252
Related people
More sourced profiles at the same organization, in the same field, or from the same school.
- Stefano ErmonAlso at Inception
- David HaImage, video, and 3D generation
- Andrea VedaldiAlso at Meta
- Abdelrahman MohamedAlso at Facebook AI Research
- Katja HofmannImage, video, and 3D generation
- Cho-Jui HsiehAlso from UCLA
- Adina WilliamsAlso at Meta
- Pieter AbbeelReinforcement learning
- David PattersonAlso from UCLA
- Ahmad Al-DahleAlso at Meta
- Siddharth NarayananAI for science
- Nanyun (Violet) PengAlso from UCLA
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