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.
11 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)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
phonetics7
computational-linguistics7
reinforcement-learning7
machine-translation7
simulation6
acl6
deep-learning6
machine-learning6
unreal5
synthetic-data5
computer-vision4
natural-language-processing4
tpu3
Programming languages (2)
Github contributions (5)
philips-labs/interspeech2022-motivational-interviewing
Mar 2022 - Oct 2022
Contributions:3 commits, 2 pushes in 6 months
uccollab/AnnoMI
Jan 2022 - Jun 2022
Official repository for the AnnoMI dataset: the first public collection of expert-annotated MI transcripts.
Contributions:4 commits, 4 pushes in 4 months
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