Wilka Carvalho

Research Fellow at Harvard University

Cambridge, Massachusetts, United States
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Summary

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Senior
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Top School
Wilka Carvalho is a Research Fellow at Harvard with 11 years of experience applying machine learning and reinforcement learning to real-world and scientific problems. Her work spans top research labs including DeepMind, Microsoft, IBM, and USC, where she has driven advances in generalization of RL agents, medical-signal prediction, and domain-adaptive time-series models that led to publications and a patent. She has a strong experimental and engineering background—building simulators and data pipelines in C++ and TensorFlow and improving algorithmic performance from prototype to production-grade accuracy. Trained in physics (B.S.), computer science (M.S.), and currently a PhD candidate in machine learning, she blends rigorous quantitative thinking with hands-on systems implementation. Beyond research, she mentors underrepresented youth and has communicated technical work to both academic and executive audiences. Motivated by building human-empowering AI, she focuses on methods that generalize robustly to new situations and measurably improve downstream impact.
code11 years of coding experience
job4 years of employment as a software developer
bookMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Southern California
bookDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of Michigan
bookBachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Stony Brook University
languagesSpanish
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Github Skills (58)

python10
reinforcement-learning9
reinforcement-learning-environments9
machine-learning9
physics-engine9
tensorflow9
neural-network9
deep-learning9
monte-carlo-tree-search9
interaction9
computer-vision8
nlp-machine-learning8
deep-neural-networks8
sliding8
gymnasium8

Programming languages (6)

C#C++CHTMLJupyter NotebookPython

Github contributions (5)

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wcarvalho/oo-model

Jan 2023 - Jan 2024

Contributions:1 review, 4 PRs, 65 pushes in 11 months
Contributions:1 PR, 582 pushes, 1 branch in 9 years 10 months
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