Michael Volpato
VP of Data Science @GWI
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WORK HISTORY
VP of Data Science @GWI
London, GB
I set the Data Science vision and strategy, am responsible for hiring, and run a distributed (London + Athens) Data Science department of 27 data analytics engineers, data engineers, data scientists, and NLP specialists, who are responsible for- ETL and ELT - Data governance - Semantic Search - NLU and NLG - Entity level sentiment and auto categorisation - Multiscale clustering and Segmentation of high dimensional categorical data - Statistical Inference - Hypothesis Testing - Data modelling
EDUCATION
Macquarie University
Master of Science - MS, Mathematics
Princeton University
Master of Science - MS, Mathematics
University of Melbourne
Bachelor of Science - BS, Mathematics, First class honours
Princeton University
Doctor of Philosophy - PhD, Mathematics
ABOUT MICHAEL VOLPATO
Experienced product strategist, mathematician, and data visualisation designer with a PhD in Mathematics from Princeton University. With over 20 years experience in teaching and researching mathematics, over 8 years experience in entrepreneurship, leadership product management and data science. My mathematical research interests include Galois representations, automorphic representations, harmonic analysis, differential privacy and topological data analysis. I am extremely interested in the interactions of topology, cryptography and privacy, machine learning, and data analysis. In particular, using the shape of data to improve accuracy, accelerate learning times and decrease the amount of training data of classical machine learning and statistical inference algorithms. Skilled in- Interactive Data Visualization (D3, Vega, VegaLite, Altair, Three)- Machine Learning (Scikit-Learn, TensorFlow, Flux, NLTK)- Differential Programming (Julia, Flux.jl, Zygote.jl)- Statistics - Topological Data Analysis - Time Series Analysis - Numerical Linear Algebra - Cryptography - Differential Privacy - Causal Inference - NLP (GPT Whispering)- Julia - Python - Elm - JavaScript - HTML - CSS - Latex
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