The Speakers

Dr. Majumder research interests include techniques of effective data visualization, statistical inference using graphics, exploratory data analysis, statistical and machine learning tools, and models to convert data into data products. His publication on visual statistical inference appeared in the Journal of the American Statistical Association (JASA) as a featured article.

Dr. Majumder is an associate professor of statistics and data science at the University of Nebraska Omaha (UNO). He founded the data science program at UNO. In addition, he is working as the graduate program chair.

Dr. Majumder received his PhD in statistics from Iowa State University. Currently, he is developing an elementary data visualization course for non-STEM majors with a service-learning component. The course satisfies the quantitative literacy requirement. The project is funded by NSF.

Matthew Brenneman did NIH-funded research at the National High Magnetic Field Laboratory (working with Professor Tim Cross) in mathematical and computational methods for molecular structure determination using solid-state NMR data.

Mr. Brenneman interest in statistics led him to do research with Professor Jade Morton (at Miami University) for the AFOSR in statistical signal processing. Working with the students in the lab made him aware of how poor their statistical education was, which led him to his current passion, statistics education.

Now, Mr. Brenneman is an instructor in the department of Mathematics at Embry-Riddle Aeronautical University, where he teaches statistics and do research towards improving statistics education.

Mr. Brenneman graduated from Carnegie-Mellon University, and did his undergraduate work in biology and physics. His need to improve his technical background led him to do his Masters in mathematics at Virginia Tech University, where he was introduced to many areas of applied math, one of which was statistics. He furthered his education in statistics by earning an M.S. in statistics from BSU back in 2015.

Prior to joining the Toronto General Hospital, Dr. Sudipta Saha worked as a Biostatistical specialist at the Public Health Ontario and was a research associate at the Princess Margaret Hospital, Canada.

Currently, he is a Biostatistician at the Toronto General Hospital , University Health Network, Canada.

Dr. Sudipta Saha received his PhD from the University of Toronto in Biostatistics, studying new causal inference methods in the context of screening trials.

Dr. Ferdouse Begum graduated from the Department of Biostatistics, University of Pittsburgh. Before joining the Food and Drug Administration, she worked as a postdoctoral fellow at Johns Hopkins Bloomberg School of Public Health and Johns Hopkins School of Medicine. Currently, Dr. Begum is a Mathematical Statistician in the Office of Biostatistics at Food and Drug Administration and is a Statistical Reviewer in the Cardiac Safety Studies Team who evaluates the potential for drugs to cause torsade de pointes. Her research interests span Statistical Genetics, Genetic Epidemiology, and drug-induced ECG signatures.

Christopher received his MS degree in Statistics in 2019 from the Department of Mathematical Science’s statistics program and joined IDOC upon graduation. In his current position as data analyst, he works with a wide range of offender data of offenders in the Indian prison system; Christopher uses SAS, R, Python – Jupyter notebooks, SAS Visual Analytics as tools in his day-to-day functions in his role.

Christopher’s experience spans across the domains of statistics; mainly descriptive, prescriptive, and predictive analysis to other roles that ensure that the division is remains vibrant and on par with state and national trends in the industry.

Christopher has continually received recognition for the provision pertinent information with interactive front-end user interface, for better data interaction and consumption, to executive staff using prescriptive and predictive analysis.