2021 Midwest Biopharmaceutical Statistics Workshop

Breaking News: We are pleased to announce that the 2021 MBSW will be held from October 13 – 15 (Wednesday – Friday), 2021, at Renaissance Indianapolis North Hotel, 11925 N. Meridian St., Carmel, IN 46032.

Book your group rate for Midwest Biopharmaceutical Statistics Workshop

(Renaissance Indianapolis North Hotel for 149 USD per night)

The theme of this year’s workshop is Envisioning 2021 and Beyond: The Future of Analytics.

Special Wednesday Plenary Speaker: Dr. Sylva H. Collins, Director, Office of Biostatistics, CDER FDA

Special Wednesday Plenary Speaker: TBD

Special Thursday Banquet Speaker: Charlie Shin, Vice President of Data Strategy & Analytics, Indianapolis Colts

Registration Open in August!

Registration fee for industry attendees is $250 (fees go up to $300 after Oct 1, 2021). Stay tuned for the program update. We look forward to seeing you in Indianapolis!

2021 Speakers Announced

We proudly present our 2021 MBSW VIP speakers:

1. Special Plenary Speakers (Wednesday, October 13, 2021)

Statistical Innovation: Opportunities and ChallengesDr. Sylva H. Collins, Director, Office of Biostatistics, CDER FDA

Dr. Collins joined the FDA, as Director of the Office of Biostatistics in CDER in August 2019. She provides scientific leadership and management to professional staff of 250 statisticians who conduct statistical research for the development and application of novel clinical trial designs and analysis methodologies in regulatory review throughout the drug life cycle.

Prior to joining the FDA, Sylva spent over 30 years in the pharmaceutical industry leading global operations in Statistical Design and Analysis of Clinical Trials, Computer Systems Development, Clinical Data Management and Health Economics. She led global teams in establishing unified worldwide strategies for faster drug development, standards and procedures for statistics, statistical programming, data management, and monitoring of study conduct.

Sylva received Bachelor’s degree in Mathematics from the American University of Beirut, Master’s, and Ph.D. in Statistics from Boston University and Master’s in Computer Science from New York University.

2. Special Banquet Speaker (Thursday, October 14, 2021)

The growing importance of data and analytics in sports business” —Charlie Shin, Vice President, Data Strategy and Analytics, Indianapolis Colts

Charlie Shin is a highly analytical customer strategy and marketing executive with global and domestic experience in data analytics, strategic planning, project management, customer segmentation, customer relationship management, and KPI management. He excels at guiding enterprise data strategy, CRM initiatives, and organization-wide marketing technology infrastructure.

Charlie currently serves as VP of Data Strategy & Analytics for the Indianapolis Colts where he oversees the data collection, data analysis, data activation and Martech infrastructure that supports commercial operation. Prior to joining the Colts, he was a VP of Strategy & Analytics at MLS for past 15 years where he developed the foundation and enhanced league-wide data strategy, analytic capabilities and Martech infrastructure. He also worked as a senior business consultant at Samsung OpenTide and PwC Consulting for over six years. In addition to his role with Colts, he currently serves as an adjunct faculty at Columbia University’s graduate sports management program.

Charlie holds a BA in business administration from Yonsei University and MS in sports business from New York University.


The universe of data and analytic has changed vastly over the past few years. The convergence of these trends is fueling rapid technology advances and business disruptions. Now, the world’s most valuable resource is no longer oil, but data.

Data innovation represents a massive opportunities across the sports ecosystem. We’ll discuss about Colts data innovation efforts and share examples of various applications in sports.

2021 Short Courses

1. Using Python for Exploratory Data Analysis and Statistical Inference: A Hands-On Short Course


  • Dr. Melvin S. Munsaka, AbbVie


Python has become one of the most popular and powerful programming languages in recent years and is now one of the standard tools for data analysis. It has a mature and growing ecosystem of open-source tools for mathematics and data analysis. It has plenty of great libraries that implement various analysis and functions and because of its general-purpose nature, it is often a one-stop-shop for programming with great extensibility. Python also has great dedicated analytical libraries available not just for routine statistical use, but also for complex analyses and machine learning and is used across many scientific sectors. In this short course, students will learn how to use Python for exploratory data analysis, statistical inference, probability, visualization, and modeling. The course will provide some basics of Python and data structures and move onto how to use Python for exploratory data analysis and visualization, statistical inference, probability, and modeling. By the end of the course, the course participants should have a good understand of Python programming basics, load data into Python from different sources, rearrange and aggregate data in Python and its use in statistical analysis, including descriptive, inference, visualization, and statistical modeling. The course will also prepare the course participants for more complex statistical analyses and data science topics beyond those discussed in the course, including Bayesian analysis and machine learning, which will also be briefly discussed in the course.

Audience: Statisticians, data scientists, programmers

Required: This is a hands-on course. Thus, participants should have access to a computer with an internet connection. Although no basic knowledge of Python is assumed, an understanding of basic concepts in statistics will be assumed.

2. TBD