Data Science and Analytics Committee
To further the actuarial profession’s involvement in Big Data and machine learning technologies and to inform public policy decision making related to the use of Big Data, predictive models, and other advanced analytics in unbiased and objective terms. The committee monitors federal legislation and regulatory activities and is charged with developing papers intended to educate stakeholders.Staff liaison:
Chairperson: Dorothy Andrews
Shawna Ackerman
Mary Bahna-Nolan
Calvin Baker
Jennifer Balester
Elizabeth Brill
Matthew Lewis Burns
Mary Pat Campbell
Nathan Cornwell
Taylor Davis
Andrew Dilworth
Jason Dunavin
Robert Eaton
Alexander Esche
Qing Fang
Li Feng
Andy Ferris
William Garber
Richard Gibson
Shruti Gupta
Michael Hall
Brad Herman
Liaw Huang
Bobby Jaegers
Mary Kannon
Dzianis Kapylou
John Koestner
Thomas Kolde
Michael Larsen
Yazhan Lin
Xin Liu
Christina May
Paul Meixler
Robert Miccolis
Matthew Mize
Reese Mularz
Sarah Murphy
Belinda Nguyen
Suzanne Obrou
Mark Olson
Kirsten Pedersen
Maya Perelman
Saravanakumar Perumal
Andrew Provines
Kenneth Qian
Sandhya Ramakrishnan
John Rogers
Andrea Rome
Julia Romero
Marcella Ruzicka
Spencer Sadkin
David Sandberg
David Schraub
Amber Schreve
Paula Schwinn
Sheri Scott
Matthew Self
Yixuan Song
Andrei Titioura
Brett Ware
William Winship
Teng Xu
Yukki Yeung
April Yu
