sadovsky.net

Alex Sadovsky

AI and Technical Executive Leader

Denver, CO · alex@sadovsky.net

01 About

I build data-driven AI and machine learning products, and the teams that ship them.

Today I lead AI at Enhesa, making decades of expert regulatory content usable by AI reasoning systems. Before that I led AI at SurePrep, where ML automation helped turn a managed service into a SaaS business ahead of its $500M acquisition by Thomson Reuters, and I ran data science product at Alteryx and data science at Oracle Data Cloud, where my teams' models powered more than $100M in annual revenue.

I trained as a computational neuroscientist at the University of Chicago. Outside of work I climb, box, trail run, and make video games.

fig. 1: Conway's Game of Life. Three rules, emergent behavior. Draw on it.

02 Experience

  1. Sep 2023 – Present

    Chief Artificial Intelligence Officer Enhesa

    Remote / Denver, CO
    • Lead a 20-person organization bringing cutting-edge AI to Enhesa's platform, which helps 1,200+ global organizations such as Intel, Microsoft, Nike, and Pfizer build a more sustainable future.
    • Lead AI strategy for Enhesa's regulatory intelligence: EHS requirements, chemicals data, product regulations, and forecaster signals.
  2. May 2023 – Aug 2023

    VP, Machine Learning & Applied Research Thomson Reuters

    Remote / Denver, CO
    • Following the SurePrep acquisition, led applied ML ideation, productization, development, deployment, and production with a larger scope at Thomson Reuters.
  3. Oct 2020 – Apr 2023

    Vice President of Artificial Intelligence SurePrep

    Remote / Denver, CO
    • Used AI/ML automation to move the company from a managed service to a SaaS offering, doing ~30% more work with ~25% fewer FTEs.
    • Helped grow company valuation 2.5x from my date of hire, leading to a $500M acquisition by Thomson Reuters in January 2023.
    • Built a nine-person ML team of data scientists, a senior architect, QA, and a PhD program consultant; co-led recruiting and strategy for the innovation engineering team.
    • Filed two patents in AI/ML document automation.
    • Led adoption of AWS serverless to move legacy processes out of an IBM data center.
    • Represented the AI/ML mission to clients, investors, and acquisition partners.
  4. Sep 2019 – Oct 2020

    Senior Director of Data Science Product Alteryx

    Denver, CO
    • Managed five PMs and TPMs across ML/AI products and developer platforms, keeping Alteryx a Leader in Gartner's Magic Quadrant for data science and ML platforms.
    • Launched the Alteryx Intelligence Suite, the platform's first NLP/OCR toolkit and AutoML product (Assisted Modeling).
    • Owned predictive modeling, Jupyter integration, and Promote, a containerized real-time model deployment product; directed MLOps and TensorFlow research.
    • Released new C++, Python, and UI SDKs and defined API requirements across the product line.
    • Owned the integration roadmap for the Feature Labs acquisition.
    • Presented to audiences of 1,200+ in Sydney and London and worked with clients including Southwest Airlines and Toyota Japan.
  5. 2015 – Sep 2019

    Senior Director of Data Science Oracle Data Cloud

    Denver, CO
    • Created and owned ML-powered ad targeting products driving $100M+ in annual revenue across nearly every major advertising platform.
    • Built a cloud-native Spark audience modeling system that produces 1,600+ models a month on terabytes of data via API or self-serve portal.
    • Shipped neural network purchase prediction for non-cyclical consumer goods and word-embedding NLP for website content targeting.
    • Hired and led 14 data scientists, analysts, data engineers, and ML engineers across R&D, insights, and production.
    • Managed a $3.5M annual AWS budget and led data due diligence for acquisitions including AddThis and Grapeshot.
    • Partnered with brands, agencies, and publishers including Procter & Gamble, Kraft, Facebook, Twitter, Pinterest, Snapchat, and Visa.
  6. 2014 – 2015

    Director of Research, Machine Learning Datalogix

    Denver, CO · acquired by Oracle
    • Developed the methodology and software for statistically causal ROI measurement of ad campaigns.
    • Replaced flat-file client operations with Flask and AngularJS services backed by RESTful APIs and NoSQL storage.
    • Moved analytics infrastructure from R, relational databases, and on-premises compute to AWS.
  7. 2007 – 2009

    Programmer MacLean Research Laboratory

    Chicago, IL
    • Developed methods to identify statistically stereotyped biophysical neural network dynamics in Python, C#, LabVIEW, and MATLAB.
  8. 2004 – 2007

    Programmer Sing Research Laboratory

    Ann Arbor, MI
    • Built statistical genomics software on a 122-processor cluster with R, C/MPI, and Perl.
  9. 1999 – 2010

    Co-Founder & CEO FocalHost.com

    Detroit, MI
    • Ran a web and email hosting company serving 100+ clients, including Detroit's SMART public transit system.
    • Grew infrastructure from DSL to T1 to colocated and co-branded hosting.

02.1 Education

  1. 2009 – 2013

    PhD, Computational Neuroscience University of Chicago

    Used graph theory to explore network properties of the mammalian brain and build computational simulations of neural sensory activity.

  2. 2002 – 2007

    BS, Computer Science and Molecular Biology University of Michigan

02.2 Technology

03 Publications & patents

  1. 2022

    1. Document Matching and Data Extraction

      D. A. Wyle, A. J. Sadovsky, W. W. Hosek, et al.
      US Patent Application 2022/0318315
      Patent

    2. Implicit Coordinates and Local Neighborhood

      D. Wyle, A. Sadovsky, W. Hosek, A. Bock, et al.
      US Patent Application 2022/0319143
      Patent
  2. 2014

    1. Acetylcholine functionally reorganizes neocortical microcircuits

      M. J. Runfeldt, A. J. Sadovsky, J. N. MacLean
      Journal of Neurophysiology 112(5), 1205-1216
      DOI

    2. Analysis of graph invariants in functional neocortical circuitry reveals generalized features common to three areas of sensory cortex

      S. S. Gururangan, A. J. Sadovsky, J. N. MacLean
      PLoS Computational Biology 10(7), e1003710
      DOI

    3. Mouse visual neocortex supports multiple stereotyped patterns of microcircuit activity

      A. J. Sadovsky, J. N. MacLean
      The Journal of Neuroscience 34(23), 7769-7777
      DOI

    4. Emergent properties of neural circuits: Observation and analysis of functional networks in sensory neocortex

      A. J. Sadovsky
      PhD dissertation, The University of Chicago
  3. 2013

    1. Scaling of topologically similar functional modules defines mouse primary auditory and somatosensory microcircuitry

      A. J. Sadovsky, J. N. MacLean
      The Journal of Neuroscience 33(35), 14048-14060
      DOI
  4. 2011

    1. Heuristically optimal path scanning for high-speed multiphoton circuit imaging

      A. J. Sadovsky, P. B. Kruskal, J. M. Kimmel, J. Ostmeyer, F. B. Neubauer, J. N. MacLean
      Journal of Neurophysiology 106(3), 1591-1598
      DOI

Full list and citations on Google Scholar ↗

03.1 Speaking & press

  1. Speaking

    Talks in Sydney, London, Tokyo, Oxford, and throughout the US.

  2. Press

    Featured in Forbes and on SiliconANGLE theCUBE.

  3. Writing

    Co-published with Amazon Web Services.

04 Contact