Federico Berto
AI Scientist at Daewoong Pharmaceuticals
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolFederico Berto is an AI scientist and PhD candidate at KAIST with six years of experience bridging research-grade machine learning and industrial applications across Japan, Korea and Europe. He has contributed to neural differential equations in the popular torchdyn library—adding hypersolvers, midpoint solvers and robust adjoint refactors—while applying ML to production problems at Radical Numerics and Daewoong Pharmaceuticals. His background spans mechatronics and automation engineering with top academic honors, multilingual technical work in automotive assembly lines, and research roles at Omelet, reflecting a rare blend of numerical-methods depth and practical systems optimization. Co-founder of the AI4CO open research community, Federico pairs rigorous academic training with a hands-on bent for solving optimal-control and industrial AI challenges.
6 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering, Bachelor of Engineering - BE, Mechatronics, Robotics, and Automation Engineering at Tongji UniversityGlobal Summer School '21, Global Summer School '21 at Tsinghua UniversityUniversity of BolognaScientifico, 100/100, Scientifico, 100/100 at Liceo Scientifico A.B. SabinMaster's degree, Industrial Engineering, Master's degree, Industrial Engineering at Korea Advanced Institute of Science and Technology
English, Italian, Chinese, Korean, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
pytorch10
deeplearning-ai10
deep-learning10
controls8
control-theory8
control-flow8
controlled8
controlling8
python8
Programming languages (10)
Github contributions (5)
DiffEqML/torchdyn
Jun 2021 - Nov 2022
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Role in this project:
ML Engineer
ML EngineerContributions:17 commits, 7 PRs, 7 pushes in 1 year 5 months
Contributions summary:Federico primarily contributed to the development of neural differential equations and related numerical methods within the `torchdyn` library. Their work included adding hypersolver and midpoint solvers, refactoring adjoint sensitivity implementations, and fixing issues related to saving and loading ODE problems. The user's commits demonstrate a focus on enhancing the library's capabilities and ensuring its proper functionality, specifically for optimal control problems.
dynamical-systemsdifferentialdedicateddifferential-equationsnumerical-methods
fedebotu/kaist-safety-course-bot
Jun 2022 - Oct 2022
A bot for automatically completing the KAIST safety course
Contributions:1 release, 95 commits, 5 PRs in 4 months
kaistpythonbotchromedriversafety
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.