Cassie Kozyrkov, PhD, Chief Decision Scientist, Google, NY, USA
''There is no distinction between a decision made by a machine
and a decision made by a human.”
As Chief Decision Scientist at Google Cloud, Cassie
Kozyrkov advises leadership teams on decision process, AI strategy, and
building data-driven organizations. She works to democratize statistical
thinking and machine learning so that everyone - Google, its customers, the
world! - can harness the beauty and power of data. She is the force behind
bringing the practice of Decision Intelligence to Google and she has personally
trained over 15,000 Googlers in machine learning, statistics, and data-driven
decision-making. Before her current role, she served in Google's Office of the
CTO as Chief Data Scientist. Prior to joining Google, Cassie worked as a data
scientist and consultant. She holds degrees in mathematical statistics,
economics, psychology, and cognitive neuroscience.
Becky Tucker, PhD, Senior Data Scientist, Spotify, CA, USA
Becky Tucker works
for Netflix as a Senior Data Scientist on the Studio Science and Analytics
team. Prior to Netflix, she received her PhD in physics from the California
Institute of Technology.
Zahra Nazari, PhD, Research Scientist, Spotify, NY, USA
Zahra is a Research
Scientist at Spotify New York. She completed her PhD in Computer Science,
Artificial Intelligence from the University of Southern California (USC) in 2017.
During her studies, she went through internships at Twitter and Google in
Software Engineering. She has many publications in applying AI in human
negotiations and prediction of malicious behavior.
Maryam Fazel-Zarandi, PhD, Machine Learning Scientist, Amazon (Alexa), MA, USA
Maryam is a Research Scientist at Amazon. She completed her
PhD under the supervision of Professor Mark S. Fox at the Department of
Computer Science, University of Toronto. In May 2013, she joined Nuance
Communications in Montreal as a Senior NLU Research Engineer, where she worked
for 3 years on developing NLP algorithms. Her research interests are in the
areas of Artificial Intelligence, Knowledge Representation and Reasoning,
Natural Language Understanding, and Applied Ontology.
With a degree in computers and communications, Dana Sarkis’
11+ years of experience has spanned across planning, buying and analytics. She
is passionate about technology, data and analytics, using them to make better
business decisions. Working across the disciplines has made Dana adept at using
consumer and media insights to fuel client’s strategies and plans. As Head of Marketing Science, Dana strives to elevate the data
and analytics conversations in the region by holding us all accountable to
ensure data safety and security.
Leela Vaughn, Sales/Product manager, Epic, WI, USA
Epic primarily develops, manufactures, licenses, supports,
and sells a proprietary electronic medical record software application, known
in whole as 'Epic' or an Epic EMR. The company offers an integrated suite of
healthcare software centered on a Caché database provided by InterSystems.
Epic's applications support functions related to patient care, including
registration and scheduling; clinical systems for doctors, nurses, emergency
personnel, and other care providers; systems for lab technologists,
pharmacists, and radiologists; and billing systems for insurers. Epic also offers hosted solutions for customers that do not
wish to maintain their own servers; and short-term optimization and
implementation consultants through their wholly owned subsidiary Boost
Services. Epic Systems was voted top overall software suite in the
2018 best in KLAS awards; the company has received this award 8 years in a row.
Epic Systems also took the top spot for overall physician practice vendor in
2018, receiving Best in KLAS awards in seven segments.
Maria Gabrani, Research Staff Member, IBM, Zurich, Switzerland
Maria Gabrani is a Research Staff Member at IBM Research
Zurich since 2001. Her research has focused in image processing and pattern
recognition techniques, used to extract meaningful information from data in
different application areas, from medical imaging, to video processing, drug
discovery and computational lithography. She has led several international,
interdisciplinary projects, across IBM and with external partners, leading to
significant contributions to IBM’s next generation products. Currently she is
focusing in the development of methods and tools to analyze histopathological
and molecular expression images for clinical and targeted therapy purposes.
Before joining IBM, from 1999 until 2001, Maria Gabrani worked for Philips
Research, in Eindhoven, The Netherlands. She holds a Ph.D and MS degree in
Electrical and Computer Engineering from Drexel University, Philadelphia, PA,
USA, and a Diploma in Electrical Engineering from Aristotle University,
Thessaloniki Greece. Maria Gabrani has received several awards including two
Outstanding Technical Achievement awards, from IBM Corporation, a Technical
Achievement Award, from IBM Research Division and several best paper awards,
among them from NASA/Goddard Space Flight Center, Image Registration Workshop