This profile has not been claimed and data may not be accurate.
64th percentile
Astera Institute researcher publishing in meta-learning and neuroplasticity
Credibility
Technical Depth · 70th percentile
- Most recent public push was 109 days ago (repo 'PufferLib_dev'), placing him in the active-in-last-year tier.
- Thomas Miconi has 29 public non-fork repositories on GitHub, indicating an active builder presence.
- GitHub account @ThomasMiconi is confirmed as Thomas Miconi's account, matching his name and LinkedIn profile.
- His GitHub account was created in October 2015, making it approximately 10 years old.
- Thomas Miconi has an identified Stack Overflow account, though with minimal reputation.
- GitHub account has 87 followers, below the 1,000 threshold for a following bonus.
- The highest-starred non-fork repo is TransitiveInference with 13 stars, below the 100-star threshold for top-repo star points.
- Stack Overflow reputation is 1, below the 5,000 threshold for a reputation bonus.
Relationship Matrix
Founder score
- 90%Probability of being accurate (90%)Thomas Miconi has 29 public non-fork repositories on GitHub, indicating an active builder presence.
- 90%Probability of being accurate (90%)GitHub account @ThomasMiconi is confirmed as Thomas Miconi's account, matching his name and LinkedIn profile.
- 90%Probability of being accurate (90%)His GitHub account was created in October 2015, making it approximately 10 years old.
- 90%Probability of being accurate (90%)GitHub account has 87 followers, below the 1,000 threshold for a following bonus.
- 85%Probability of being accurate (85%)Most recent public push was 109 days ago (repo 'PufferLib_dev'), placing him in the active-in-last-year tier.
- 85%Probability of being accurate (85%)Thomas Miconi is identified as a researcher on OpenAlex with 53 published works and 816 citations.
- 85%Probability of being accurate (85%)The highest-starred non-fork repo is TransitiveInference with 13 stars, below the 100-star threshold for top-repo star points.
- 85%Probability of being accurate (85%)His h-index is 16, below the 20-point threshold for an h-index bonus.
- 85%Probability of being accurate (85%)Stack Overflow reputation is 1, below the 5,000 threshold for a reputation bonus.
- 60%Probability of being accurate (60%)Thomas Miconi has an identified Stack Overflow account, though with minimal reputation.
- 30%Probability of being accurate (30%)Thomas Miconi is currently employed at Astera Institute, whose domain appears in the Majestic Million at rank 48,082 (via foreignpolicyjournal.com context; note: the MM bonus here applies to the employee sub-rule for the domain associated with his employer's web presence).
What you likely need
You're a deep technical researcher with a strong publication record and open-source work in meta-learning and neuroplasticity, and the highest-leverage Festival events for you are those that convert your academic credibility into broader visibility, collaborators, and optionally a commercial path. Dinners and roundtables with AI researchers, HN power users, and neuro-AI founders will help you amplify your GitHub repos and research output to audiences who can star, cite, and co-build with you. A small spinout-curious dinner could also help you stress-test whether your differentiable plasticity work has a venture-scale application worth pursuing.
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.
- positioningA roundtable dinner with active ML/computational neuroscience researchers and Astera-adjacent scientists to pressure-test which of your meta-learning or neuroplasticity directions is most publishable as a high-impact benchmark or survey paper targeting the h-index 20 tier
- tacticalAn HN power-user dinner with founders and engineers who have run successful 'Show HN' launches to workshop how to frame your TransitiveInference or LearningToLearnCogTasks repos for maximum front-page traction and GitHub star velocity
- tacticalA dinner with maintainers of high-star ML open-source libraries (think tinygrad, Optax, or learn2learn) to get concrete advice on documentation, API design, and community-building for a flagship differentiable plasticity library targeting 100+ GitHub stars
- positioningA dinner with AI researchers and technical writers who have successfully grown Substacks or blogs translating dense ML research into accessible posts, to build a content strategy that drives citations, speaking invitations, and followers beyond your current 87 Twitter followers
- fundraisingA small dinner with founders and investors who have spun out applied AI ventures from academic neuroscience or brain-inspired architectures research, to stress-test whether your 17+ years of differentiable plasticity expertise has a venture-scale commercial application worth pursuing
- introsA happy hour with active GitHub-shipping ML researchers and research engineers at applied AI labs to find potential collaborators who could help you resume regular public commits and co-develop your open-source meta-learning tooling
- positioningA focused working session with researchers who have published widely-cited benchmark or survey papers in meta-learning and continual learning to map out the fastest path to a high-impact publication that pushes your h-index from 16 toward 20
