Penn State data scientist to speak on forecasting student success

September 20, 2017

UNIVERSITY PARK, Pa. — Drew Wham, a data scientist for Penn State’s Education Technology Services, will deliver a talk titled “Using Machine Learning to Forecast Student Outcomes.” The talk will occur from 1:30 to 3 p.m. on Oct. 5 in 233A HUB-Robeson Center.

This event is free and open to the public. The lecture is sponsored by the Institute for CyberScience (ICS) as part of the ICS CyberScience Seminars, a series of talks on cutting-edge topics of interest to the cyberscience research community at Penn State.

Wham is working on a computational method for modeling and predicting college students’ end-of-semester GPAs, as well as the students' probability of withdrawal, before the beginning of the semester. Some students struggle with the courses they have selected for a variety of reasons: For example, they may be underprepared for an individual course; or the combination of courses may present too large a course load. Wham’s method can predict these struggles early.

The idea is that, if academic advisers and instructors could identify students who are struggling early on, they could give guidance in course scheduling and sequencing. They also would be able to provide resources that help students improve their performance, leading to better grades, higher retention rates and happier students.

In his talk, Wham will discuss how his model works and ways it can be applied to improve student outcomes.

Space is limited, so please reserve a seat at the seminar by Oct. 2. The event includes Wham’s talk, an extended question-and-answer session, and time to socialize. Refreshments will be served.

ICS CyberScience Seminars explore a wide range of interdisciplinary topics. Check out the full slate of speakers for 2017-18.

Prior to joining Education Technology Services, Wham earned his doctorate in biology at Penn State. He specialized in using Bayesian modeling, machine learning and statistical programming to solve problems in genetics and bioinformatics. Some of his major projects have focused on detecting and naming new species, predicting the number of unique individuals in clonal populations and inferring the rate of clonal reproduction. His research focuses on problems that involve hidden groups and data that comes from individuals that are related by observable or unobservable networks.

The Institute for CyberScience is one of the five interdisciplinary research institutes under the Office of the Vice President for Research, and is dedicated to supporting cyber-enabled research across the disciplines. ICS builds an active community of researchers using computational methods in a wide range of fields through co-hiring of tenure-track faculty, providing seed funding for ambitious computational research projects, and offering access to high-performance computing resources through its Advanced CyberInfrastructure. With the support of ICS, Penn State researchers harness the power of big data, big simulation and big computing to solve the world’s problems. For more information, visit or email  

  • Drew Wham

    Drew Wham is a data scientist for Penn State's Education Technology Services. He is working on using machine learning to predict students' academic outcomes.

    IMAGE: Penn State
Last Updated September 20, 2017