Conference Speakers

 
Bethany Edmunds  - Associate Dean & Lead Computer Science Faculty of Northeastern University - Vancouver

Bethany Edmunds - Associate Dean & Lead Computer Science Faculty of Northeastern University - Vancouver

AI 101 - Speaker

Bethany Edmunds is the lead Khoury faculty at Northeastern University - Vancouver campus. Prior to joining Northeastern, she was at the British Columbia Institute of Technology where she led the pedagogical innovation of the Computer Information Technology Program and the Downtown Campus as Program Head and then Associate Dean.

A native of New Jersey, she received her Bachelors of Science in Computer Science from Rowan University in 2002 and PhD in Computer Science from Rutgers University in 2008 before moving to Canada. In 2018, she was named one of BC Business’s Most Influential Women in Stem and Business in Vancouver’s Forty Under 40.


Potentials and Risks of AI - Keynote Speaker

Dr. Oren Etzioni has served as the Chief Executive Officer of the Allen Institute for Artificial Intelligence since its inception in 2014. He has been a Professor at the University of Washington's Computer Science department since 1991, and a Venture Partner at the Madrona Venture Group since 2000.

He has garnered several awards including Seattle's Geek of the Year (2013), the Robert Engelmore Memorial Award (2007), the IJCAI Distinguished Paper Award (2005), AAAI Fellow (2003), and a National Young Investigator Award (1993). He has been the founder or co-founder of several companies, including Farecast (sold to Microsoft in 2008) and Decide (sold to eBay in 2013). He has written commentary on AI for The New York Times, Nature, Wired, and the MIT Technology Review. He helped to pioneer meta-search (1994), online comparison shopping (1996), machine reading (2006), and Open Information Extraction (2007). He has authored over 100 technical papers that have garnered over 2,000 highly influential citations on Semantic Scholar.

He received his Ph.D. from Carnegie Mellon in 1991 and his B.A. from Harvard in 1986.

Oren Etzioni  - Chief Executive Officer of the Allen Institute for Artificial Intelligence

Oren Etzioni - Chief Executive Officer of the Allen Institute for Artificial Intelligence


Heather Redman  - Co-Founder & Managing Partner at Flying Fish Partners

Heather Redman - Co-Founder & Managing Partner at Flying Fish Partners

Tackling the Tech Stack in AI - Keynote Speaker

Heather is Co-Founder & Managing Partner at Flying Fish Partners, a venture firm investing in artificial intelligence, machine learning and robotics companies.

She serves on the boards of Beneficial State Bank (Lead Independent Director and member Audit & Technology Committees), Yesler, Inc., Coldstream Holdings Inc., Greater Seattle Metropolitan Chamber (immediate past Chair), Washington Technology Industry Association (Chair), Technology Alliance, Forterra and as a Regent of the Washington State University.  She serves on the executive committee of the Global EIR Coalition, the governing advisory board of the Hawthorn Club, the Connector Board of NCWIT, the advisory board of iInovate and as a mentor at Techstars. She was named a 2019 Director of the Year by the Puget Sound Business Journal. 

Heather is also very active in local and national policy. Prior to her current roles, Heather was Executive and Senior Vice President at each of Indix, Summit Power, Atom Entertainment, Getty Images and PhotoDisc and General Counsel of Getty Images, a publicly traded company. Heather’s law degree is from Stanford and her BA is from Reed.


AI Blindspot Project - Speaker

For 15 years, Dan has worked at the intersection of science, technology, and policy to address social issues. His research in public and private sectors has transformed data into large-scale change on topics ranging from food policy to algorithmic bias.

Currently Dan works as a Product Scientist at Indeed, where he specializes in fairness and transparency of automated decision systems. He studied ethics and governance of artificial intelligence as a 2019 Assembly Fellow at Harvard and MIT. As an Assembly Fellow, he co-created AI Blindspot to help policymakers and industry professionals understand how biases affect AI and other types of automated decision systems.

He is also an experienced, passionate public speaker. He has given more than 100 talks to scientists, policymakers, and business leaders around the world.

Dan Taber  - Data Scientist at Indeed

Dan Taber - Data Scientist at Indeed


Daniel Castro  - Vice President, ITIF, and Director, Center for Data Innovation

Daniel Castro - Vice President, ITIF, and Director, Center for Data Innovation

AI Federal and State Prospectus - Keynote Speaker

Daniel Castro is vice president at the Information Technology and Innovation Foundation (ITIF) and director of ITIF's Center for Data Innovation.

Castro writes and speaks on a variety of issues related to information technology and internet policy, including privacy, security, intellectual property, Internet governance, e-government, and accessibility for people with disabilities. His work has been quoted and cited in numerous media outlets, including The Washington PostThe Wall Street JournalNPRUSA TodayBloomberg News, and Bloomberg Businessweek. In 2013, Castro was named to FedScoop’s list of the “top 25 most influential people under 40 in government and tech.” In 2015, U.S. Secretary of Commerce Penny Pritzker appointed Castro to the Commerce Data Advisory Council.

Castro previously worked as an IT analyst at the Government Accountability Office (GAO) where he audited IT security and management controls at various government agencies. He contributed to GAO reports on the state of information security at a variety of federal agencies, including the Securities and Exchange Commission and the Federal Deposit Insurance Corporation. In addition, Castro was a visiting scientist at the Software Engineering Institute in Pittsburgh, PA, where he developed virtual training simulations to provide clients with hands-on training of the latest information security tools.


Nicole Nichols  - Senior Research Scientist at PNNL

Nicole Nichols - Senior Research Scientist at PNNL

“Establishing the seat belts of ai” - panelist

Dr. Nicole Nichols is a senior research scientist at Pacific Northwest National Laboratory (PNNL) and research associate at Western Washington University Department of Computer Science. She received her B.S. degree in mechanical engineering from the University of Massachusetts in 2005.  She received her M.S. and Ph.D degrees in electrical engineering from the University of Washington in 2010 and 2016 respectively, and was awarded both the NSF graduate student fellowship and ARCS foundation fellowship.  

At PNNL she has lead technical teams investigating application of deep learning to cyber security and the security of machine learning. Nicole serves on the advisory board of Western Washington University Department of Computer Science and the Software Carpentry Foundation.


Osonde Osoba  - Information Scientist at the RAND Corporation and Professor at Pardee RAND Graduate School

Osonde Osoba - Information Scientist at the RAND Corporation and Professor at Pardee RAND Graduate School

“Establishing the seat belts of ai” - panelist

Osonde Osoba (pronounced “oh-shOwn-day aw-shAw-bah”) is an information scientist at the RAND Corporation and a professor at the Pardee RAND Graduate School. He has a background in the design and optimization of machine learning algorithms. He has applied his machine learning expertise to diverse policy areas such as health, defense, and technology policy. His more recent focus has been on data privacy and fairness in artificial intelligence and algorithmic systems more generally. Osoba also serves as a co-director for RAND's center for Scalable Computing and Analysis (SCAN).

Prior to joining RAND, he was a researcher at the University of Southern California (USC). His research there focused on improving the speed and robustness of popular statistical algorithms like the expectation-maximization (EM) and backpropagation algorithms used in applications like automatic speech recognition. He also made contributions on the robustness and accuracy of approximate Bayesian inference schemes. Osoba received his Ph.D. in electrical engineering from USC and his B.S. in electrical and computer engineering from the University of Rochester.


Lisa Brown  - Director of WA State Dept. of Commerce

Lisa Brown - Director of WA State Dept. of Commerce

Ai and Jobs in WA State - Keynote Speaker

Lisa J. Brown, Ph.D., was appointed Commerce director by Gov. Inslee and began serving the agency in February of 2019.

Prior to serving as Commerce director, she served as chancellor of Washington State University, where she led the health science campus in Spokane. Lisa served in the Washington State Legislature from 1996 – 2013 in the Senate where she was majority leader and chaired the Rules Committee, Ways and Means Committee, and Energy, Technology and Telecommunications Committee. She served in the state House of Representatives from 1993 – 1996, where she was minority whip and minority floor leader.

She has worked extensively on economic development in Eastern Washington and on gender equity. Prior to state office, she was an associate professor of economics at Eastern Washington University and an associate professor of leadership at Gonzaga University.Lisa earned her bachelor’s degree in economics at the University of Illinois and her master’s and doctoral degrees in economics from the University of Colorado in Boulder.


Garth Gibson  - President and CEO, Vector Institute

Garth Gibson - President and CEO, Vector Institute

AI Public Private Partnerships - Keynote Speaker

As a leader in research, advanced education and commercial collaboration, Dr. Garth Gibson bridges the worlds of academia and business. This unique combination ideally positions him to lead the Vector Institute in its mandate to drive Canada’s leadership in artificial intelligence (AI) research, fostering economic growth and improving the lives of Canadians.

Dr. Gibson has held a number of leadership positions at Carnegie Mellon University (CMU) in Pittsburgh, including as Professor in the Department of Computer Science and the Department of Electrical and Computer Engineering, Co-Director of its Master of Computational Data Science program, and Associate Dean for Master’s Programs in the School of Computer Science, overseeing 20 Master’s programs with over 1,000 enrolled students who are in high-demand upon graduation.

As an active and collaborative researcher, he has been instrumental in integrating academia and industry. CMU’s Parallel Data Lab, established by Dr. Gibson over 25 years ago, continues to enable researchers and companies to collaborate and exchange ideas on technology directions. He has also brought partners together to develop high-performance computing systems required to power big data and machine learning research.