Alex has been building interactive systems since first connecting the joystick port of an Apple ][+ to a piezoelectric sensor in 1985.

6502 and 65C816 assembly became video production, digital art, multimedia programming, web application development and physical computing: custom linux-based embedded hardware/software systems, mobile applications, public installations, and realtime analytics.

Alex joined UCLA’s REMAP  Named Data Networking research team, concurrent with completing a BA in Computing in 2012 – ‘Scalable Information Systems’  (CS, HCI, Information Visualization, and Statistics) at DePaul. At UCLA, funded by the National Science Foundation’s Future Internet Architecture initiative, we wrote applications to test a safer, faster, more open and efficient Internet (details), also contributing to civic computing projects, open source computer vision project OpenPTrack, and supporting film students via UCLA REMAP. See some publications from this time.

Afterwards, he completed a Masters in Data Science in 2018 while transforming ShopperTrak/Tyco/JCI‘s mobile analytics platform into a micro-service architecture, filed patents, and completed various POCs for new edge machine learning and computer vision systems.

In 2019 he joined Tempus, helping design and build a big data platform (Lens) for reproducible data science to enhance collaboration for oncological research.

After Tempus, at AWS Professional Services he helped government and nonprofits with their AI/ML use cases & workflows, primarily in GeoSpatial Analytics, yet also including sound classification, edge optimized computer vision and IOT systems. Among other work was an interactive AI/ML sculpture in 2021 that is part of the Futures exhibition, celebrating the 175th anniversary of the museum, and helping with Land Mine removal in the Ukraine.

In Chicago, he regularly attends Chicago’s ACM and other tech meetups.

Alex enjoys sailing, cycling, hiking, snowboarding, and tennis.