About the Pharmacy/Drug Discovery Cohort

The Pharmacy / Drug Discovery Data Mine is devoted to the use of data sciences in pharmaceutical research and pharmacy practice. Students could participate in a broad range of research topics, ranging from the analysis of genomic, proteomics or metabolomics datasets; machine learning in cheminformatics, structure-based drug design, formulation design, and product manufacturing; and the use of big data to improve medication adherence and to control drug abuse.

Eligibility

  • Students who are interested in data sciences for pharmaceutical research and pharmacy practice.
  • Preference for upperclass undergraduate students, although exceptions can be made for outstanding first-year undergraduate students.

Residential Component

  • New Incoming Students: Living in Data Mine residential space is required unless you are in the Honors College or have other special accommodations needed.
  • Returning Purdue Students: Data Mine housing for returning undergraduates has reached capacity for AY 2023-24.
  • Your roommate (in most cases) will be a member of The Data Mine.
  • If you want to live on campus, it is necessary to complete a housing contract. (Completing a housing contract is a separate process from applying for a learning community.)

Duration

Fall and spring semesters

Required classes

The information below is subject to change.

Fall

  • GS 29501 (1 credit; section SC1: CRN 30257) Understanding Your Undergraduate Research Experience I (taken by upper-level students only)
  • Possibility of directed research (PHRM 49500) with Pharmacy faculty member
  • TDM 10100, 20100, 30100, 40100 (1 credit; 5 sections available) The Data Mine I, III, V, or VII

Spring

  • GS 39501 (1 credit; section SC1: CRN 23140) Understanding Your Undergraduate Research Experience II (taken by upper-level students only)
  • Possibility of directed research (PHRM 49500) with Pharmacy faculty member
  • TDM 10200, 20200, 30200, 40200 (1 credit; 5 sections available) The Data Mine II, IV, VI, or VIII

Events and Activities

  • Weekly dinners with Data Mine participants
  • Faculty and TA office hours onsite in Hillenbrand
  • Seminars by visiting speakers, including practicing data scientists
  • Social gatherings with Data Mine members
  • Meals with campus and community leaders
  • Game / recreation nights
  • Career and graduate school panels
  • Hackathons / data competitions
  • Professional development activities
  • Tour of Purdue’s computational facilities

faculty

Dr. Amy Childress

Director, Office of Undergraduate Research

childres@purdue.edu

Dr. Tony Hazbun

Associate Professor of Medicinal Chemistry and Molecular Pharmacology

thazbun@purdue.edu

Dr. Tonglei Li

Allen Chao Chair

Professor of Industrial and Physical Pharmacy

tonglei@purdue.edu

Mr. JJ Sadler

Associate Director – Student-Focused Programming, Office of Undergraduate Research

jjsadler@purdue.edu