2021 Speakers Announced

We proudly present our three 2021 MBSW guest speakers:

1. Special Plenary Speakers (Monday, May 17, 2021)

Statistical Leadership in the Changing Landscape of Drug Development” —Dr. Aloka Chakravarty, Director (Acting), Office of Biostatistics, CDER FDA

  • Please see Dr. Chakravarty’s bio here
  • Please see Dr. Chakravarty’s abstract here

Statisticians, Leadership and Teamwork” –?Gary Sullivan, Espirer Consulting

2. Special Banquet Speaker (Tuesday, May 18, 2021)

The Need for Analytical Science” —Dr. Stephen Ruberg, Distinguished Statistical Scientist, Analytix Thinking, LLC

  • Please see Dr. Ruberg’s bio here

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. An Introduction to Spotfire

Instructors :

  • Sukanya Dutta (GCE Solutions)
  • Wei Jin (Lilly)


TIBCO Spotfire provides an incredibly fast and flexible environment for analyzing critical data to help you and your organization make better and smarter decisions. With powerful in-memory analysis, predictive modeling and highly visual and intuitive interface. This training/course introduces key TIBCO Spotfire features and examines how to quickly get started with data analysis by building highly interactive visualizations. It examines the most commonly used features for customizing visualizations and differentiates between the types of visualizations.

Audience: Statisticians, data scientists, programmers


  • Download one month free trial version of TIBCO Spotfire Analyst version
  • Download the data file/files to be used during the training session (plan to circulate the same before the session)

Course Overview

  • Data Loading/Import and Visualization – 50 mins
  • Data Transformation and Data Wrangling – 50 mins
  • Presentation and Distribution – 20 mins
  • Case Study / Hands On Session – 50 min