Collin J. Engstrom


Office: 4715 Medical Sciences Center
Office Phone: (608) 263-7331

Salutations! My name is Collin Engstrom, and I recently received my Ph.D. in Computer Sciences here at the
University of Wisconsin - Madison. My research was with David Page and Brian Patterson.

I am currently a CIBM Postdoctoral Research Fellow working with Brian Patterson and Mark Craven.

Below you will find information pertaining to my research, teaching, and coursework. For more information, please see my CV.

If you have any questions, feel free to contact me at engstrom <at> cs <dot> wisc <dot> edu . 

Thanks for visiting!

Selected Publications:

• Engstrom, C. J., Liao, F., Page, D., Sah, V., Patterson, B. W., et al. Optimizing machine learning models for clinical applications. Manuscript prepared for submission.
• Clegg, A. W., Engstrom, C. J., Jacobsohn, G., Shah, M., Smith, M., & Patterson, B. W. Using electronic health record data and machine learning to predict outpatient falls after emergency department visits. Pending submission.
• Patterson, B. W., Engstrom, C. J., Sah, V., Smith, M. A., Mendonça, E. A., Pulia, M. S., ... & Shah, M. N. (2019). Training and interpreting machine learning algorithms to evaluate fall risk after emergency department visits. Medical care, 57(7), 560-566.
• Kringle, E. A., Knutson, E. C., Engstrom, C., & Terhorst, L. (2019). Iterative processes: a review of semi-supervised machine learning in rehabilitation science. Disability and Rehabilitation: Assistive Technology, 1-6.
• Schwartz, M. P., Hou, Z., Propson, N. E., Zhang, J., Engstrom, C. J., Costa, V. S., ... & Wang, Y. (2015). Human pluripotent stem cell-derived neural constructs for predicting neural toxicity. Proceedings of the National Academy of Sciences, 112(40), 12516-12521.
• Anand, A., Gember-Jacobson, A., Engstrom, C., & Akella, A. (2014, October). Design patterns for tunable and efficient SSD-based indexes. In Proceedings of the tenth ACM/IEEE symposium on Architectures for networking and communications systems (pp. 149-160). ACM.

Teaching:

• Fall 2017:

  CS 540: Intro to Artificial Intelligence (Co-Lecturer)
  

• Spring 2016:

  CS 540: Intro to Artificial Intelligence (Lecturer)
  

• Spring 2013:

  CS 537: Intro to Operating Systems (Teacher's Assistant)
  

• Fall 2012:

  CS 302: Intro to Programming (Teacher's Assistant)
  

• Spring 2012:

  CS 537: Intro to Operating Systems (Teacher's Assistant)
  

• Fall 2010:

  MATH 171: Calculus with Algebra and Trigonometry (Teacher's Assistant)

   

Coursework:

• Summer 2015:

  GEN 466: General Genetics

• Spring 2015:

  STAT 761: Decision Trees for Multivariate Analysis

• Spring 2014:

  MATH 431: Intro to Probability Theory

• Fall 2013:

  CS 770: Human Computer Interaction

• Spring 2013:

  CS 776: Advanced Bioinformatics

• Fall 2012:

  CS 760: Machine Learning

  CS 540: Artificial Intelligence
  

• Spring 2012:

  CS 838: Applied Cryptography

  CS 545: Natural Language Processing
  

• Fall 2011:

  CS 707: Wireless Networking

• Spring 2011:

  CS 736: Advanced Operating Systems

  CS 740: Advanced Networks
  

• Fall 2010:

  CS 547: Computer Systems Modeling

  CS 640: Computer Networks