Who we are
Introduction toPyMC Labs
How Probabilistic AI Statistics can Help You?
Probabilistic AI modeling, as supported by our open-source Python library PyMC, allows you to solve problems that can hardly be solved any other way.
The tool and methodology are highly versatile and are being used successfully by various companies. But PyMC is being used to find planets outside of our solar system, detect earthquakes, predict elections or estimate the spread of COVID-19 on rt.live. The PyMC journal article isthe most cited paper on PeerJ where it was published.
Meet Our Team
Allen Downey
Benjamin Maier
Bernard Mares
Camilo Saldarriaga
Christopher Fonnesbeck
Colt Allen
Daniel Saunders
Eliot Carlson
Erik Ringen
Evan Wimpey
Francesco Muia
Halah Joseph
Jake Piekarski
Juan Orduz
Kemble Fletcher
Kusti Skytén
Maxim Laletin
Mengxing Baldour-Wang
Nina Rismal
Olivera Stojanovic
Oriol Abril Pla
Pablo de Roque
Purna Mansingh
Sandra Meneses
Teemu Säilynoja
Titi Alailima
Ulf Aslak
Our Partners
Founder of PyMC Labs
Biography:
Author of PyMC, the leading platform for statistical data science
PhD in Computational Cognitive Neuroscience from Brown University
Former VP of Data Science and Head of Research at Quantopian Inc: Built a team of data scientists to build a hedge fund from a pool of 300k crowd researchers
Recognized Public Speaker: Keynotes at the Open Data Science Conference (ODSC) & TACC as well as talks at Strata Hadoop & AI, Newsweek AI conference, and various PyData conferences around the world
Chief Operating Officer
Biography:
PhD in Psychology from Vanderbilt University, BS in Computer Science from Northeastern University
Former Professor at Stony Brook University
More than 20 years of experience teaching and conducting research in data science, econometrics, statistics, and research methods
Leads the PyMC Community Team, co-organizer of the PyMCon Web Series, and regularly hosts PyMC office hours and sprints for new project contributors
Partner Gen AI Vertical
Biography:
15+ years of experience leading AI, infrastructure and analytics teams in hypergrowth tech companies. Successfully scaled data teams from 0 to 100 professionals
Former Chief Data & AI Officer at Mistplay, where he developed reinforcement learning models for personalization, recommendation engines, scalable data platforms, and advanced experimentation platforms enabling 200+ annual A/B tests and generating hundreds of millions of dollars in revenue
Former VP Data Science and HelloFresh where he oversaw $800M Marketing budget optimization and spearheaded Probabilistic AI Causal Modeling for pricing analytics and experimentation. Previous to that, management roles at Alibaba, Stitch Fix and Rocket Internet SE
PhD in Computer Science at Heidelberg University, with expertise in AI and computer vision
VP Marketing Analytics
Biography:
Masters in Econometrics, University of Bristol (2014 - 2015)
10 years industry and agency experience, developing a strong domain expertise in marketing. Successfully managed and coordinated high-value global clients in complex market environments, handling billion-dollar marketing budgets. Including the in-housing of holistic marketing measurement platforms driving million-dollar marketing scenarios
Core PyMC-Marketing Developer: UI, time-varying parameterization & budget optimization
VP Marketing Analytics
Biography:
BSc in Economics, University of Sheffield
15 years marketing analytics experience. Former Senior Partner at Gain Theory, leading MMM consultancy, where he led the internal innovation team and the development of the internal data science platform
Led and contributed to marketing effectiveness programs for major brands in the CPG, Retail, Entertainment, Government and D2C verticals
Some Of Our Clients
