David Eriksson
Research Scientist Manager at Meta
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDavid Eriksson is a Research Scientist Manager at Meta with nine years of experience advancing Bayesian optimization and Gaussian process research, now leading a team of six researchers. He previously served as Staff Research Scientist at Meta and led the development and productionization of Bayesian optimization services at Uber AI, where he co-authored the influential TuRBO method spotlighted at NeurIPS 2019. He holds a PhD in Applied Mathematics from Cornell and an MSc in Engineering Mathematics from Chalmers, blending deep theoretical expertise with practical system-building—evident from contributions like MATLAB’s surrogateopt and scalable point-cloud algorithms. Based in Boulder, Colorado, he is skilled at taking high-dimensional black-box optimization from novel algorithms to reliable, deployable services. An under-the-radar strength is his track record of turning academic ideas into production tools that improve live experiments and engineering workflows.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at Cornell UniversityMaster of Science (MSc) Engineering Mathematics and Computational Science, Master of Science (MSc) Engineering Mathematics and Computational Science at Chalmers University of Technology
English, Swedish
Github Skills (9)
plugin10
dedicated-server9
dotnet8
sketch6
semantics5
golang4
analyzer4
modular2
deep-learning2
Programming languages (2)
Github contributions (5)
Future-Ordering/DeepMACSS
Mar 2022 - Jun 2022
Deep Modular Analyzer for Creating Semantics from Sketch
Contributions:4 commits, 2 PRs, 4 pushes in 3 months
deep-learningneural-networkssemanticsmodularsketch
Cryslacks/runelite
Oct 2020 - May 2023
Open source Old School RuneScape client
Contributions:2 pushes, 1 branch in 2 years 8 months
old-schoolrunescape-clientold-school-runescaperunescape
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