In an era where artificial intelligence is rapidly reshaping the world, Aditya Grover stands out as a rare blend of scientist, innovator, educator, and entrepreneur.
Aditya Grover: A Scholar Driven by Curiosity and Impact
Aditya Grover’s academic journey reflects both brilliance and intention. After earning his bachelor’s degree in Computer Science and Engineering from IIT Delhi, he pursued advanced research at Stanford University, completing his MS and PhD in Computer Science. At Stanford, Grover distinguished himself not only through research excellence but also as an exceptional educator, earning the Gores Award, the university’s highest honor for teaching.
His intellectual growth continued during postdoctoral training at UC Berkeley, where he deepened his focus on intelligent systems that can reason, adapt, and learn with minimal human supervision.
From the very beginning, Grover’s goal has been clear:
to build intelligent agents capable of understanding and interacting with the real world in meaningful ways.
Leading the Machine Intelligence (MINT) Group at UCLA
At UCLA, Aditya Grover AI Researcher leads the Machine Intelligence (MINT) Group, a research lab dedicated to advancing the foundations of generative AI and reinforcement learning.
The MINT Group focuses on:
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Unsupervised and self-supervised learning
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Interactive decision-making systems
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Generative models grounded in real-world physics
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AI for scientific simulation and sustainability
Rather than optimizing AI for narrow benchmarks, Grover’s lab works on systems that can generalize, reason, and adapt—qualities essential for deploying AI in complex domains like climate science, energy, and large-scale scientific modeling.
Aditya Grover: Pioneering AI for Climate Science
One of Aditya Grover’s most transformative contributions lies at the intersection of AI and climate science. As a core contributor to the ML4Climate initiative, he has helped redefine how machine learning can model Earth’s systems.
ClimaX: A Foundation Model for the Planet
Grover spearheaded ClimaX (Climate+X), the world’s first foundation model for weather and climate forecasting. Unlike traditional models designed for single tasks, ClimaX is highly adaptable and can be fine-tuned for:
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Weather prediction
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Extreme event forecasting
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Greenhouse gas estimation
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Energy demand modeling
This versatility marked a paradigm shift in atmospheric science.
Stormer: Setting New Benchmarks
Building on this success, Grover co-developed Stormer, a next-generation climate forecasting model that achieved state-of-the-art performance, surpassing industry leaders such as GraphCast. Stormer demonstrated that AI could capture fine-grained spatiotemporal dynamics at unprecedented accuracy.
The AI2050 Project: Forecasting Extreme Weather
As an AI2050 Early Career Fellow, Aditya Grover is leading an ambitious project to develop an uncertainty-aware foundation model for extreme weather events.
This research addresses one of climate science’s greatest limitations: accurately forecasting floods, droughts, wildfires, and storms at high resolution and long lead times.
Grover’s approach combines:
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Large-scale unsupervised pretraining on atmospheric data
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Alignment techniques to integrate physical domain knowledge
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Open-source dissemination to ensure global accessibility
The project reflects his belief that AI breakthroughs must be shared to create real-world impact.
Accelerating Scientific Discovery Beyond Climate
Aditya Grover’s work extends beyond atmospheric modeling. His research has also driven advances in:
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Battery science, where machine learning optimizes fast-charging protocols
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Scientific simulation, enabling faster and more accurate experimentation
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Multimodal perception and decision-making systems
These contributions highlight his broader mission: using AI as a tool to accelerate discovery across scientific disciplines.
From Academia to Industry: Founding Inception
In 2024, Grover co-founded Inception, a generative AI company focused on building a new class of high-speed, parallelizable large language models.
Unlike conventional LLMs, Inception’s models are based on diffusion techniques, redefining the balance between:
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Model quality
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Inference speed
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Computational cost
This entrepreneurial step underscores Grover’s ability to translate foundational research into real-world systems that can reshape the AI ecosystem.
Experience at the World’s Leading AI Labs
Before UCLA, Aditya Grover gained invaluable experience at the world’s most influential research institutions, including:
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Meta (FAIR) as a Research Scientist
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OpenAI
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Google DeepMind
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Microsoft Research
His work from these labs has been deployed in production systems and cited over 15,000 times, appearing in top venues such as Nature and major AI conferences.
Awards, Recognition, and Global Influence
Aditya Grover’s contributions have earned him some of the most prestigious honors in AI and computer science, including:
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IJCAI Computers and Thought Award (2025)
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MIT Technology Review Innovators Under 35 (2025)
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Forbes 30 Under 30 in Science
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ACM SIGKDD Doctoral Dissertation Award
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NeurIPS Outstanding Paper Award
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Samsung AI Researcher of the Year
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Kavli Fellowship (U.S. National Academy of Sciences)
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NSF CAREER Award
IIT Delhi also honored him with the Graduates of the Last Decade (GOLD) Award, recognizing his global impact in academics and research.