Ricardo Henao

Ricardo Henao

Assistant Professor in Biostatistics & Bioinformatics

Appointments and Affiliations

  • Assistant Professor in Biostatistics & Bioinformatics
  • Member of Duke Center for Applied Genomics and Precision Medicine
  • Member of the Duke Clinical Research Institute

Contact Information

  • Office Location: 140 Science Drive, Durham, NC 27710
  • Office Phone: (919) 668-0647
  • Email Address: ricardo.henao@duke.edu

Education

  • Ph.D. Technical University of Denmark (Denmark), 2011

Courses Taught

  • COMPSCI 394: Research Independent Study
  • ECE 391: Projects in Electrical and Computer Engineering
  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering
  • EGR 190: Special Topics in Engineering
  • EGR 393: Research Projects in Engineering
  • EGR 590: Special Topics in Engineering
  • POE 190: Practice Oriented Education

In the News

Representative Publications

  • She, X; Zhai, Y; Henao, R; Woods, CW; Chiu, C; Ginsburg, GS; Song, PXK; Hero, AO, Adaptive Multi-Channel Event Segmentation and Feature Extraction for Monitoring Health Outcomes., Ieee Trans Biomed Eng, vol 68 no. 8 (2021), pp. 2377-2388 [10.1109/TBME.2020.3038652] [abs].
  • Wang, L; Balmat, TJ; Antonia, AL; Constantine, FJ; Henao, R; Burke, TW; Ingham, A; McClain, MT; Tsalik, EL; Ko, ER; Ginsburg, GS; DeLong, MR; Shen, X; Woods, CW; Hauser, ER; Ko, DC, An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility., Genome Medicine, vol 13 no. 1 (2021) [10.1186/s13073-021-00904-z] [abs].
  • Chapfuwa, P; Assaad, S; Zeng, S; Pencina, MJ; Carin, L; Henao, R, Enabling counterfactual survival analysis with balanced representations, Acm Chil 2021 Proceedings of the 2021 Acm Conference on Health, Inference, and Learning (2021), pp. 133-145 [10.1145/3450439.3451875] [abs].
  • Dov, D; Assaad, S; Si, S; Wang, R; Xu, H; Kovalsky, SZ; Bell, J; Range, DE; Cohen, J; Henao, R; Carin, L, Affinitention nets: Kernel perspective on attention architectures for set classification with applications to medical text and images, Acm Chil 2021 Proceedings of the 2021 Acm Conference on Health, Inference, and Learning (2021), pp. 14-24 [10.1145/3450439.3451856] [abs].
  • Alexopoulos, A-S; Crowley, MJ; Wang, Y; Moylan, CA; Guy, CD; Henao, R; Piercy, DL; Seymour, KA; Sudan, R; Portenier, DD; Diehl, AM; Coviello, AD; Abdelmalek, MF, Glycemic Control Predicts Severity of Hepatocyte Ballooning and Hepatic Fibrosis in Nonalcoholic Fatty Liver Disease., Hepatology (2021) [10.1002/hep.31806] [abs].