Zixiu "Alex" Wu
Research Scientist at Philips Research
Eindhoven, North Brabant, France
Summary
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Senior🎓
Top SchoolZixiu "Alex" Wu is a research scientist with a decade of multidisciplinary experience bridging mathematical modeling, acoustics, electromagnetics, and applied machine learning. Trained at Sorbonne University in Financial Engineering and Random Models and fluent in French, he has applied rigorous numerical methods—from finite-difference modeling in ultrasound research to LSTM-based energy-consumption forecasting—to deliver practical, industrialized solutions. His background spans academia and industry, combining experimental design and signal analysis with production-oriented data engineering (SQL, Python) and algorithm optimization. Comfortable translating theory into deployable tools, he has contributed to commercialization efforts in cogeneration and RF measurement calibration while pursuing MS-level research at Philips as an MSCA Early Stage Researcher. Off the lab bench he’s an avid rock climber, a detail that underscores his appetite for technical challenge and disciplined problem solving.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Financial Engineering and Random Models, Master of Science - MS, Financial Engineering and Random Models at Sorbonne UniversitéUniversity Degree, French and Language for Specific Purposes, University Degree, French and Language for Specific Purposes at Université Paris DescartesBachelor's degree, Physics & Math, Bachelor's degree, Physics & Math at Université Pierre et Marie Curie (Paris VI)
Github Skills (17)
autoencoder9
phonetics8
computational-linguistics8
acl8
reinforcement-learning7
deep-learning6
natural-language-processing6
machine-learning6
datasets6
machine-translation6
simulation6
synthetic-data5
unreal5
pytorch5
tpu4
Programming languages (3)
Github contributions (5)
uccollab/AnnoMI
Jan 2022 - Jun 2022
Contributions:4 commits, 4 pushes in 4 months
philips-labs/interspeech2022-motivational-interviewing
Mar 2022 - Oct 2022
Contributions:3 commits, 2 pushes in 6 months
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