This profile has not been claimed and data may not be accurate.
Founder46Not (yet!) a founder
62nd percentile
Investor0Not (yet!) an investor
Combined
MIT-trained founding engineer at AI healthcare startup Valerie Health
Credibility
this founder typical founder (50th pct)
Technical Depth · 83th percentile
- Actively shipping: 1,741 GitHub contributions in the last year (124 commits, 12 PRs).
- Demonstrates personal technical depth: MIT CS/MEng graduate with hands-on ML research at CSAIL, deep learning internship at NVIDIA, and engineering work on Meta's Segment Anything model including a custom binary mask tracing algorithm that improved latency 1000x.
- 1,602 private/restricted GitHub contributions in the last year — actively ships code in private repos daily.
- Active builder with 8 public non-fork repos on GitHub.
- Currently shipping public code with most recent push 4 days ago to repo 'personal-tooling', though no personal repo has 500+ stars.
- Identified GitHub account @lilianluong confirmed by name match in the enrichment.
- Tenured GitHub account created in October 2018, over 5 years old.
Relationship Matrix
Founder score
- 92%Probability of being accurate (92%)Identified GitHub account @lilianluong confirmed by name match in the enrichment.
- 92%Probability of being accurate (92%)Tenured GitHub account created in October 2018, over 5 years old.
- 90%Probability of being accurate (90%)Active builder with 8 public non-fork repos on GitHub.
- 88%Probability of being accurate (88%)Actively shipping: 1,741 GitHub contributions in the last year.
- 88%Probability of being accurate (88%)1,602 private/restricted GitHub contributions in the last year — actively ships code in private repos daily.
- 88%Probability of being accurate (88%)Currently shipping public code with most recent push 4 days ago to repo 'personal-tooling', though no personal repo has 500+ stars.
- 85%Probability of being accurate (85%)MIT SuperUROP researcher on AI/ML planning algorithms (Dynamic Abstraction for Efficient Planning in Large MDPs) and undergraduate researcher at MIT CSAIL Learning and Intelligent Systems Group.
- 82%Probability of being accurate (82%)Demonstrates personal technical depth: MIT CS/MEng graduate with hands-on ML research at CSAIL, deep learning internship at NVIDIA, and engineering work on Meta's Segment Anything model including a custom binary mask tracing algorithm that improved latency 1000x.
- 80%Probability of being accurate (80%)Deep domain expertise in AI/ML: undergraduate researcher at MIT CSAIL on reinforcement learning and MDPs, deep learning intern at NVIDIA, ML teaching assistant at MIT, and now building AI-driven healthcare products at Valerie Health.
What you likely need
You're a technically deep ML engineer with an MIT pedigree, strong private shipping velocity, and a founding-team role at an AI healthcare startup. The most valuable events for you right now are those that connect you with other early-stage technical founders and engineers building in AI/health, help you sharpen your go-to-market instincts as a founding team member, and open doors to the seed-stage investor community that backs AI-native healthcare companies.
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 founding-engineer dinner with other early AI healthcare startup builders to swap lessons on shipping fast in regulated environments.
- hiringAn MIT CSAIL alumni roundtable to connect with fellow researchers-turned-founders and explore co-founder or early-hire opportunities.
- fundraisingAn office-hours session with seed-stage investors focused on AI-native healthcare to understand what metrics matter most for Valerie Health's next raise.
- hiringAn Applied Intuition alumni happy hour to recruit senior engineers or ML specialists for Valerie Health's founding team.
- tacticalA hands-on ML infrastructure workshop with other founding engineers to benchmark AI stack choices for healthcare-grade reliability and compliance.
- positioningA positioning workshop for technical co-founders and founding engineers on translating deep ML expertise into compelling product narratives for non-technical buyers in healthcare.
- introsA Meta FAIR alumni networking dinner to tap into a community of applied ML engineers who have made the leap to early-stage startups.