Daniel C. Chan
About Daniel C. Chan
Daniel C. Chan is the VP IT and Senior Program Director at MAXIMUS and the Owner/Principal Technology Advisor at A2DK, with a diverse background in technology and leadership roles across various organizations.
Title and Current Positions
Daniel C. Chan is currently the Vice President of IT and Senior Program Director at MAXIMUS. Concurrently, he serves as the Owner and Principal Technology Advisor at A2DK. Both roles are held in New York, with the positions at MAXIMUS based in Albany and A2DK in Niskayuna. His expertise aligns with senior executive management in IT and program direction.
Previous Executive Roles
Before his current positions, Daniel C. Chan worked extensively with New York State offices. He was the Chief Information Officer for Finance, Regulation, and Gaming from 2013 to 2014, and the Acting State CIO and Director of Information Technology Services from 2011 to 2013. Prior to these roles, he was the CIO for the Office of Temporary and Disability Assistance from 2007 to 2011. All these roles were held in Albany, NY.
Industry Experience
Daniel C. Chan has a diverse industry background. From 1985 to 1997, he was a Senior Technical Staff member at The Boeing Company. Later, at GE, he held multiple roles: Manager of High-Performance Computing at GE Global Research (1997-2001), Global Infrastructure Manager at GE Energy (2001-2004), and Chief Technologist at GE Infrastructure (2004-2007). This extensive experience spans across technical, managerial, and leadership roles in prominent corporations.
Educational Background
Daniel C. Chan holds a Ph.D. in Aerospace Engineering from the University of Southern California (1993-1997). He earned his SM in Aeronautics and Astronautics from the Massachusetts Institute of Technology (1982-1984). Before that, he completed his BS in Aerospace Engineering at Texas A&M University (1978-1982). This strong academic foundation underpins his extensive career in technology and information systems.
Technical Skills and Achievements
Daniel C. Chan has advanced deep-learning models for medical use, achieving over 90% sensitivity in screening diseases. He has developed NLP-based transformer models for summarizing medical documents and built a large-scale data lake for near real-time analytics using Kafka, Hudi, HDFS, Hadoop, and Spark. His technical proficiencies include Tensorflow, Pytorch, SpaCy, Python, C++, SQL, Docker, Kubernetes, Helm, gRPC, Jaeger, and Grafana. He is also familiar with DICOM, NIFTI, PACS, and the FDA 510k process and has experience with Google Cloud Platform, Snowflake data warehouse, and Nvidia GPU.