Speakers Women in Data Science 2019 Conference
  • 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.

  • Dana Sarkis, Head of Marketing Science, Omnicom Media Group, UAE

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