Nikos Daniilidis
Staff Data Scientist II
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNikos Daniilidis is a Staff Data Scientist II based in San Francisco with 12 years applying machine learning to product problems and a deeper scientific foundation from a PhD and postdoctoral work in experimental AMO and condensed matter physics. He specializes in long-horizon decision making, reinforcement learning, causal effect estimation, and explore–exploit strategies for recommender and notification systems, while also automating ML pipelines at scale. His background in electrical and computer engineering and hands-on experience building prototypes (RF/digital electronics, lasers, cryogenics) give him unusual fluency bridging low-level instrumentation and production data systems. Comfortable across Python, Scala, R, SQL and big-data stacks like Spark/Hadoop, he pairs rigorous experimental design with product-oriented experimentation and metrics. Colleagues rely on him for modelling noisy systems and designing robust decision frameworks that translate scientific rigor into measurable business impact.
12 years of coding experience
13 years of employment as a software developer
PhD, Physics, PhD, Physics at Brown UniversityDiploma, Electrical and Computer Engineering, Diploma, Electrical and Computer Engineering at National Technical University of Athens
Greek, English, French
Github Skills (7)
pickle9
object-graph8
serialization7
json7
deserialization6
python6
graph5
Programming languages (1)
Github contributions (5)
HaeffnerLab/trap-simulation-tools-matlab
Apr 2014 - May 2014
Contributions:10 commits in 1 month
nikos-daniilidis/python-complexity
Sep 2015 - Feb 2017
Contributions:37 pushes, 1 branch in 1 year 5 months
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