Yue Cathy Chang

Yue Cathy Chang is an executive recognized for thought leadership and execution in digital transformation. She is passionate about addressing business challenges and often finds herself and her team “parachuting” into situations to tackle challenging and meaningful data needs. Cathy has led teams and functions at blue-chip enterprises as well as startups across financial services and high-tech industries. She is currently an AVP in banking and financial services at an American multinational technology corporation.

Cathy built and ran the financial services and insurance practice at Silicon Valley Data Science before the company’s successful conversion to a global consumer technology company. She was the first employee hired by the CEO at venture-funded software startup Rocana (acquired by Splunk). Cathy also worked closely with and represented the CEO of FeedZai to lead the establishment of FeedZai US and transformed the company’s focus from general-purpose real-time data analytics to payment processing fraud prevention targeting the financial services sector.

Cathy is a member of the Wall Street Women’s Alliance Connect program and a proposal consultant for NASA JPL. She previously co-founded TutumGene, a genome editing technology company aiming to accelerate cures for illnesses, and authored “AI Meets Genomics: Genetics and Genome Editing Revolutionize Medicine” for executive briefings at an O’Reilly AI conference and a data and AI conference to bridge genome editing with data science and AI.

Cathy holds MS and BS degrees in electrical and computer engineering from Carnegie Mellon University, MBA and MS degrees from MIT, and has authored two granted US patents.

books by Yue Cathy Chang

How to Lead in Data Science

  • November 2021
  • ISBN 9781617298899
  • 512 pages
  • printed in black & white
  • Available translations: Japanese, Russian, Simplified Chinese

How to Lead in Data Science shares unique leadership techniques from high-performance data teams. It’s filled with best practices for balancing project trade-offs and producing exceptional results, even when beginning with vague requirements or unclear expectations. You’ll find a clearly presented modern leadership framework based on current case studies, with insights reaching all the way to Aristotle and Confucius. As you read, you’ll build practical skills to grow and improve your team, your company’s data culture, and yourself.