AI, Data Science, and Analytics Committee

The AI, Data Science, and Analytics Committee (ADAC) furthers the actuarial profession’s involvement in artificial intelligence, data science, and advanced analytics and supports unbiased, objective actuarial input into public policy decision making. The committee monitors legislative and regulatory developments related to AI and analytics across practice areas and is charged with developing papers and other work products to educate policymakers, stakeholders, and actuaries.

Chairperson: Spencer Sadkin
Maggie Ruzicka

Members:

Shawna Ackerman
Mohammed Ashab
Calvin Baker
Tom Bakos
Jennifer Balester
Stephanie Bolstridge
Matthew Lewis Burns
Mary Pat Campbell
Wanchin Chou
Nathan Cornwell
Mario DiCaro
Andrew Dilworth
David Driscoll
Robert Eaton
Alexander Esche
Qing Fang
Hsing-Hui Fu
Robert Gomez
David Guede
Shruti Gupta
Melissa Hollis
Nicholas Jacobi
Bobby Jaegers
Shannon Kacherovich
Mary Kannon
Dzianis Kapylou
John Koestner
Thomas Kolde
Jed Linfield
Christina May
Paul Meixler
Robert Miccolis
Tyson Mohr
Reese Mularz
Sarah Murphy
Suzanne Obrou
Mark Olson
Joshua Panfil
Sandeep Patil
Kirsten Pedersen
Maya Perelman
Kenneth Poole
David Quinn
Sandhya Ramakrishnan
Martin Ramsey
Jacob Robertson
Andrea Rome
Julia Romero
David Sandberg
David Schraub
Amber Schreve
Paula Schwinn
Matthew Self
Yixuan Song
Andrei Titioura
William Winship
Jon-Zeu Wu
Yukki Yeung
Haofeng Yu
Diyi Zhao