Academic Appointments:
Associate Professor, Paul G. Allen School of Computer Science & Engineering
Associate Professor, Department of Genome Sciences
Adjunct Associate Professor, Department of Electrical Engineering
Adjunct Associate Professor, Department of Biomedical Informatics and Medical Education
University of Washington, Seattle

PhD Electrical Engineering, Stanford University, 2009
MS Electrical Engineering, Stanford University, 2003 
BS Electrical Engineering, KAIST, 2001 

Office:  Rm 536, Paul G. Allen Center (CSE)
Lab:      Rm 310, Paul G. Allen Center (CSE)
Email:  suinlee AT 

Research Interests: 
Computational biology - precision medicinenetwork biology, & genetics
Machine learning - interpretability, feature selection, & graphical models

Prof. Su-In Lee is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering and in the Genome Sciences Department, and Adjunct Associate Professor in the Department of Electrical Engineering and in the Department of Biomedical Informatics and Medical Education at the University of Washington. She completed her PhD in 2009 at Stanford University with Prof. Daphne Koller in the Stanford Artificial Intelligence Laboratory. She was also working with Prof. Serafim Batzoglou and Prof. Andrew Ng.  Before joining the UW in 2010, she was a visiting professor in the Computational Biology Department at Carnegie Mellon University. She has received the National Science Foundation CAREER Award and been named an American Cancer Society Research Scholar.  She has major research grants from the American Cancer Society, the National Institutes of Health, and the National Science Foundation

Awards & Honors:
  • Best Paper Award, NIPS workshop "Interpretable Machine Learning for Complex Systems" (2016)
  • NSF/ABI CAREER Award: Learning the Chromatin Network from ENCODE ChIP-Seq Data (2016)
  • NIH/NIA R21: Machine Learning Approach to Identify Alzheimer's Disease Therapeutic Targets (2015)
  • Named an American Cancer Society Research Scholar: Big Data Approach to Personalized Therapy for Caner (2015)
  • NSF/ABI Innovation Award: Statistical Methods for Biological Network Estimation (2014)
  • Solid Tumor Translational Research Transformative Research Grant  (2014)
  • eScience/ITHS Seed Grants (2014)
  • Finalist. Microsoft Research New Faculty Fellowship (2013)
  • UW's Royalty Research Fund (2013)
  • Best Paper Award, Medical Image Computing and Computer-Assisted Intervention (MICCAI) (2012)
  • Before 2009: 
    • Stanford Graduate Fellowship, 2001-2004
    • Samsung Lee Kun Hee Fellowship, 2002-2006  
    • Ministry of Information and Communication Fellowship, 2001-2002
    • The President of KAIST Award (1st runner-up for academic excellence in the undergraduate program based on GPA), 2001
    • Gold Medal (1st place), Samsung Humantech Paper Competition, 2000 "Biologically Inspired Neural Network Approach using Feature Extraction and Top-Down Selective Attention for Robust Optical Character Recognition"
    • Merit-based full scholarship from KAIST, 1997-2001
    • Attended the Seoul Science High School, 1995-1997
Recent Invited Talks:
  1. Many great places including Stanford, UCSF ICHS, ABACBS (keynote), the Allen Institute for Brain Science, etc.
  2. University of Washington, Statistics Department Seminar, February 2017.
  3. University of Washington, Pathology Department, January 2017.
  4. Big Data Panel Discussion, SLU Collaborative Seminar Series, January 2017.
  5. Amazon, Machine Learning Seminar, December 2016.
  6. Korean BioMedical Scientists (KBMS) Annual Conference, December 2016.
  7. Carnegie Mellon University, Computational Biology Seminar, November 2016.
  8. University of Washington, Medical Genetics Seminar, October 2016.
  9. Keynote speech at the International Workshop on Computational Network Biology: Modeling, Analysis and Control (CNB-MAC 2016), October 2016. 
  10. University of California, San Diego. Bioinformatics and Systems Biology (BISB) Seminar, September 2016. 
  11. Johns Hopkins University, Institute for Computational Medicine Distinguished Speaker Series, September 2016. 
  12. Fred Hutchinson Cancer Research Center, Data Science Affinity Group Seminar, August 2016. 
  13. Broad Institute of MIT and Harvard, Special Cell Circuits & Epigenomics Seminar, June 2016. 
  14. Broad Institute, Models, Inference & Algorithms Seminar, June 2016. 
  15. Dana-Farber Cancer Institute, Center for Functional Cancer Epigenetics (CFCE) Seminar, June 2016. 
  16. University of California, Los Angeles, Bioinformatics Seminar, May 2016. 
  17. Institute for Systems Biology, April 2016. 
  18. Gladstone Institutes/UCSF, Convergence Seminar, April 2016. 
  19. University of California, Berkeley, April 2016. 
  20. University of Washington, Machine Learning Lunch Seminar, April 2016. 
  21. Memorial Sloan Kettering Cancer Center, March 2016. 
  22. The Mt. Sinai Hospital, Genetics and Genomic Sciences, March 2016. 
  23. University of California, Santa Cruz, Cancer Genomics Seminar, February 2016. 
  24. Stanford University, Center for Cancer Systems Biology Seminar Series, January 2016.
  25. Stanford University, Genetics Department, January 2016. 
  26. SickKids Research Institute/U of Toronto, Scientific Talk, November 2015.