Special Sessions

Harvard Business Review Special Session: Where Does Data Science Go Next?

Data science is being democratized, and more and more organizations are realizing its importance. At the same time, the field’s frontier continues forward: deep learning is pushing the limits in many domains, and a small number of leading firms are using it to pull further ahead of their competitors. Where does data science go next? And what should your firm be focused on? How important are cutting edge techniques compared to simpler models? Join Harvard Business Review’s Walter Frick, along with Fast Forward Labs’ Hilary Mason and MIT’s Kalyan Veeramachaneni to explore these questions.


Walter Frick

Walter Frick
Harvard Business Review

Walter Frick is a senior associate editor at Harvard Business Review, where he writes and edits about business, technology, and economics. He also leads audience development and analytics for the editorial side of HBR. He was a 2016 Knight Visiting Nieman Fellow at Harvard University, and has written previously for The Atlantic, MIT Technology Review, the BBC, The Boston Globe, Nieman Lab, and others.


Hilary Mason

Hilary Mason
Fast Forward Labs

Hilary is Founder and CEO of Fast Forward Labs, a machine intelligence research company, and Data Scientist in Residence at Accel Partners. Previously, Hilary was Chief Scientist at bitly. She co-hosts a DataGotham, a conference for New York’s home grown data community, and co-founded HackNY, a non-profit that helps engineering students find opportunities in New York’s creative technical economy. She’s on the board of the Anita Borg Institute and an advisor to several companies including Sparkfun Electronics, Wildcard, and Wonder. Hilary served on Mayor Bloomberg’s Technology Advisory Board, and is a member of Brooklyn hacker collective NYC Resistor.

Kalyan Veeramachaneni

Dr Kalyan Veeramachaneni is a Computer Scientist whose research currently focuses on developing automation technologies for data science – the field that focuses on methods and technologies that enable deriving insights from data. To enable machines to perform the same tasks as a data scientist, without supervision, Kalyan and his team observed the tasks humans do as data scientists for years and ultimately built algorithms that emulate human intelligence involved in a data science endeavor. He has founded “The human data interaction” project which aims to enable humans and software to interact seamlessly and thus efficiently derive insights from the data. Kalyan is currently a Principal Research Scientist at the Laboratory for Information and Decision Systems at MIT. He directs a research group called Data-to-AI(http://dai.lids.mit.edu/) at MIT. Kalyan is also co-founder of PatternEx and Feature Labs.

Special Panel Session: Growing an Analytics Team

Organizations and leaders are constantly bombarded with information about strategies and tools to make analytics successful. But we also know that ‘tools are only as good as the hands they are in’, and that ‘culture eats strategy for breakfast’. This panel session will focus on the many dimensions of growing a successful analytics team, with each panelist providing a unique perspective on finding talent, overcoming challenges and lessons learned along the way.


Zahir Balaporia
Optimization Solutions Partner

Joining the FICO team in 2015, Zahir helps clients design solutions for their advanced analytics needs, with a focus on optimization, analytics deployment and change management. He brings 20 years of experience in manufacturing, transportation, logistics and IT, having recently led the advanced analytics team within a $4B company. His work was profiled in the book Only Humans Need Apply – Winners and Losers in the Age of Smart Machines by Tom Davenport and Julia Kirby. Zahir has a BS in Computer Engineering, an MS in Industrial Engineering, and an MS in System Dynamics.


Linda Burtch
Burtch Works

Founder & Managing Director of Burtch Works, Linda has over 30 years’ experience recruiting quantitative professionals, and has dedicated her career to serving as an industry leader in analytics and data science recruiting. Her firm recruits for organizations nationwide ranging from start-ups to Fortune 50 corporations, for roles from Analyst up to Chief Analytics Officer.

Linda is a frequent speaker on Big Data career topics at luncheons, conferences, corporate meetings, and webinars, and has been a board member of the Chicago Chapter of the American Statistical Association for 10+ years. She is also an active member of INFORMS and a member of the International Institute for Analytics’ Expert Network. Linda hosts a popular blog with analysis and insights on the data science and analytics market.

Tim Jacobs

Tim Jacobs is Director of Research Science and Global Middle Mile Planning Technologies for Amazon. Tim’s groups oversee the research and development of decision support applications and optimization efforts for middle mile air and ground planning and logistics worldwide. Tim leads numerous strategic development efforts including the modeling and analysis supporting the design of Amazon’s air network and innovative initiatives to manage the truckload transport business.

Previously, Tim was the Director of Crew Systems and Technologies at American Airlines. Other positions include Director of Operations Research and Revenue Planning Technologies for US Airways and several leadership positions at American Airlines and Sabre. Tim received his doctorate in Operations Research and Systems Engineering from Purdue University. He continues to pursue new research initiatives, has authored more than 35 refereed publications, holds several U.S. patents within the airline industry and is a licensed Professional Engineer.

Juergen Klenk

Dr. Juergen Klenk is a principal with Deloitte Consulting LLP’s Monitor Strategy practice. He focuses on advancing Precision Medicine and Data Science in healthcare and biomedical research through the unique lens of his combined formal scientific training and entrepreneurial experience. Dr. Klenk has authored publications, patented inventions, spoken at international conferences, and he has started up, grown, and established innovative health analytics businesses. Throughout his career he has worked with leading health organizations, including government health agencies, academic medical centers, pharmaceutical and biotech companies, health care providers, and non-profit organizations. His areas of expertise include strategy and business operations, digital transformation, data analytics, and science & technology. Dr. Klenk holds a Ph.D. in Mathematics and a Master’s degree in Mathematics and Physics from Eberhard-Karls-Universität Tubingen.

Olga Raskina
Juno Therapeutics

Olga Raskina is a Senior Operations Research Scientist in the Technology R&D organization at Juno Therapeutics. Olga is responsible for all OR related projects at June, primarily focusing on the design and operation of Juno’s manufacturing facilities as well cost reduction opportunity analysis. Prior to joining Juno Olga led multiple network and revenue optimization projects at national transportation provider. Olga has a Ph.D. in Operations Research from Columbia University.

Guide to Analytics Body of Knowledge

The Guide to the Analytics Body of Knowledge (ABOK) is being created in support of the Certified Analytics Professional (CAP®) program. The ABOK will serve as a central repository for key analytics knowledge, supported by in-depth subject matter expert interviews and writing as well as formerly unpublished case studies. Join us to learn more about the Analytics BOK and provide your input to the creators of this first edition of the ABOK.

Terry Harrison

Terry Harrison
Penn State

Terry Harrison, PhD, CAP is a professor of supply chain and information systems at the Penn State Smeal College of Business, and is the Earl P. Strong Executive Education Professor in Business. Professor Harrison has teaching and research interests in the areas of supply chain management and modeling, large scale production and distribution systems, decision support systems, applied optimization and the management of renewable natural resources. His work has been published in such leading journals as the European Journal of Operational Research, Interfaces, Management Science, Operations Research, and Production and Operations Management, among others. Harrison holds a master’s degree and Ph.D. in management science from the University of Tennessee and bachelor’s degrees in forest products and forest Science from Penn State.

James Cochran

James Cochran
University of Alabama

James Cochran, Professor of Applied Statistics and Rogers-Spivey Faculty Fellow, Fellow, American Statistical Association, Co-Founder of Statistics Without Borders, Editor in Chief of Wiley Encyclopedia of Operations Research and Management Science & Editor in Chief for the INFORMS Guide to the Analytics Body of Knowledge (ABOK). Cochran served as Editor of INFORMS’ Transactions on Education, 2006-2012 and he is Founding Editor of the Wiley Series in Operations Research and Management Science.

Special Panel Session: Supply Chain in the Age of Drones and Self-drive Vehicles

Supply chain of today has become very critical to business growth and it is going through transformational changes. Current business is positively disrupted thru’ technological advancements in the data analytics, computing and communications, innovations driving instant gratifications, glocalition and other competing forces. This panel specifically addresses the role of data analytics and impact of the technological advancements such as Drones and Self-drive (i.e. autonomous) vehicles on our supply chain. We will address the disruptions from the Plan, Source, Make and Deliver (SCOR) perspective how to prepare for it.


Mani Janakiram
Director, Supply Chain Intelligence & Analytics
Intel Corporation

Mani Janakiram is a Principal Engineer and a Director of Supply Chain Intelligence & Analytics at Intel Corporation. He has been with Intel for 15 years and has managed several strategic projects in factory operations, capacity planning, process control, analytics, strategy, supplier management, factory science and supply chain. In addition to his Hi-tech experience, his 25 years of experience includes Automotive and Aerospace industries. Prior to Intel, he worked at Honeywell and Motorola in operations, strategy, systems, analytics, manufacturing, research, planning, etc. Mani has two patents and has published 50+ papers on supply chain, statistical modeling, capacity modeling, data mining, factory operations research and process control. Mani is an adjunct professor at Arizona State University, school of Business and also a visiting lecturer at MIT’s Center for Transportation & Logistics. Mani holds a PhD and M.S. in Industrial & Systems Engineering from Arizona State University, MBA from Thunderbird School of Global Management and a B.S. in Mechanical Engineering. He is a recognized Six Sigma Master Black Belt and also an APICS certified supply chain professional (CSCP).


Jack Levis

Jack Levis, Senior Director of Industrial Engineering, drives the development of operational technology solutions. These solutions require advanced analytics to reengineer current processes to streamline the business and maximize productivity.

Jack has been the business owner and process designer for UPS’ award-winning Package Flow Technology suite of systems, a breakthrough change for UPS, resulting in a reduction of 185 million miles driven each year. His team designed UPS’ next generation of dispatching
technologies which use advanced optimizations. The world-class optimizations and systems, UPS ORION, On-Road Integrated Optimization and Navigation, has completed deployment and is providing significant operational benefits to UPS and its customers. UPS estimates that ORION is reducing costs by $300M to $400M per year.

Having earned his Bachelor of Arts in psychology, from California State University Northridge, Jack also holds a Master’s Certificate in Project Management from George Washington University. Jack holds advisory council positions for multiple universities and associations, including the U.S. Census Bureau Scientific Advisory Committee.

David Simchi-Levi

David Simchi-Levi is a Professor of Engineering Systems at MIT and Chairman of Opalytics, a cloud analytics platform company. He is considered one of the premier thought leaders in supply chain management and business analytics. His research focuses on developing and implementing robust and efficient techniques for operations management. He has published widely in professional journals on both practical and theoretical aspects of supply chain and revenue management. His Ph.D. students have accepted faculty positions in leading academic institutes including U. of California Berkeley, Columbia U., Cornell U., Duke U., Georgia Tech, Harvard U., U. of Illinois Urbana-Champaign, U. of Michigan, Purdue U. and Virginia Tech. Professor Simchi-Levi co-authored the books Managing the Supply Chain (McGraw-Hill, 2004), the award winning Designing and Managing the Supply Chain (McGraw-Hill, 2007) and The Logic of Logistics (3rd edition, Springer 2013). He also published Operations Rules: Delivering Customer Value through Flexible Operations (MIT Press, 2011).

He served as the Editor-in-Chief for Operations Research (2006-2012), the flagship journal of INFORMS and for Naval Research Logistics (2003-2005). He is an INFORMS Fellow, MSOM Distinguished Fellow and the recipient of the 2014 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice; 2014 INFORMS Revenue Management and Pricing Section Practice Award; 2009 INFORMS Revenue Management and Pricing Section Prize and Ford 2015 Engineering Excellence Award. Professor Simchi-Levi has consulted and collaborated extensively with private and public organizations. He was the founder of LogicTools which provided software solutions and professional services for supply chain optimization. LogicTools became part of IBM in 2009. In 2012 he co-founded OPS Rules, an operations analytics consulting company. The company became part of Accenture in 2016.