This profile has not been claimed and data may not be accurate.
13th percentile
NVIDIA principal AI research engineer, ex-DeepMind and Stanford, building generative AI and world foundation models
Credibility
Technical Depth · 37th percentile
- GitHub account shows 2 private/restricted contributions in the last year, indicating active code shipping in private repositories despite a quiet public profile.
- GitHub account @grace-lam confirmed as belonging to this person, with bio listing NVIDIA and ex-DeepMind.
- GitHub account @grace-lam has been active for approximately 9 years, created in September 2016.
Relationship Matrix
Founder score
- 95%Probability of being accurate (95%)nvidia.com ranks #314 on the Majestic Million (global domain prominence).
- 85%Probability of being accurate (85%)GitHub account @grace-lam confirmed as belonging to this person, with bio listing NVIDIA and ex-DeepMind.
- 85%Probability of being accurate (85%)GitHub account @grace-lam has been active for approximately 9 years, created in September 2016.
- 75%Probability of being accurate (75%)GitHub account shows 2 private/restricted contributions in the last year, indicating active code shipping in private repositories despite a quiet public profile.
What you likely need
You're a senior AI researcher and engineer at NVIDIA with a strong background spanning DeepMind, Stanford, MIT, and Apple — you sit at the frontier of generative AI and world foundation models. Events that connect you with other top-tier AI practitioners, research engineers, and technical founders building in the AI infrastructure and applied ML space would be most valuable. Roundtables focused on the technical and career dimensions of AI research — from LLM alignment to productionizing models — would be a natural fit.
Would you attend these IRL Festival events?
We will tune and customize your Founder Festival experience to make sure you get invited to the events that would be most valuable to you.
- introsA dinner for senior AI engineers from NVIDIA, DeepMind, and frontier labs to exchange notes on world models and RL for LLMs.
- tacticalA technical roundtable for generative AI researchers and engineers on the practical challenges of training and deploying large foundation models.
- introsA Stanford and MIT AI alumni happy hour in the Bay Area to build warm connections with peers across research and applied AI roles.
- positioningA workshop for senior AI engineers considering the transition to technical co-founder, featuring founders who made the leap from big-tech research roles.
- introsA dinner at the intersection of AI and climate tech for engineers and founders applying ML to sustainability problems.
- tacticalAn office hours session with founders who left NVIDIA, Google, or Apple research to start companies, focused on timing and de-risking the leap.
- positioningA small salon on AI safety and alignment for researchers with hands-on LLM and RL experience, bridging academic and industry perspectives.