Erich Senin Huang | Scholars@Duke

Erich Senin Huang
Assistant Professor in Biostatistics and Bioinformatics

Co Director of Duke Forge, and Assistant Dean for Biomedical Informatics, Dr. Huang’s research interests span applied machine learning, research provenance and data infrastructure. Projects include building data provenance tools funded by the NIH’s Big Data to Knowledge program, regulatory science funded by the Burroughs Wellcome Foundation. Applied machine learning applications include “Deep Care Management” a highly interdisciplinary project with Duke Connected Care, Duke’s Accountable Care Organization, that integrates claims and EHR data for predicting unplanned admissions and risk stratifying patients for case management; CALYPSO, a collaboration with the Department of Surgery for utilizing machine learning to predict surgical complications. My team is also building the data platform for the Department of Surgery's "1000 Patients Project" an intensive biospecimen and biomarker study based around patients undergoing the controlled injury of surgery.

As Co Director of Duke Forge, Dr. Huang is working with Robert Califf, former Commissioner of the FDA to build a data science culture and infrastructure across Duke University that focuses on actionable health data science. The Forge emphasizes scientific rigor, awareness that technology does not supersede clinicians’ responsibilities and human relationship with their patients, and the role of data science in society.

Current Appointments & Affiliations

Assistant Professor in Biostatistics and Bioinformatics, Biostatistics & Bioinformatics, Basic Science Departments 2014
Assistant Dean, Biomedical Informatics, Biostatistics & Bioinformatics, Basic Science Departments 2016
Co-Director, Duke Forge, Biostatistics & Bioinformatics, Basic Science Departments 2017
Assistant Professor in Surgery, Surgery, Clinical Science Departments 2014
Core Faculty in Innovation & Entrepreneurship, Information Initiative at Duke, Initiatives 2018

Contact Information

2424 Erwin Road Ste 1105, 11037 Hock Plaza, Durham, NC 27705
Duke Box 2721, Durham, NC 27710
erich.huang@duke.edu (919) 668-2814
ORCID profile

Background
Education, Training, & Certifications
- M.D., Duke University 2003
- Ph.D., Duke University 2002
Duke Appointment History
- Adjunct Assistant Professor in the Department of Surgery, Surgical Oncology, Surgery 2012 - 2013
- Assistant Professor of Surgery, Surgical Oncology, Surgery 2011 - 2012
- Assistant Professor of Surgery, Surgery, Clinical Science Departments 2008 - 2010
Recognition
In the News
- SEP 28, 2018
  
  +DataScience Wants to Put the Power of Machine Learning in Everyone’s Hands
- NOV 9, 2017 Duke Research Blog
  
  Opportunities at the Intersection of Data Technology and Healthcare
- MAR 8, 2016 Duke Translational Medicine Institute / DukeCTSA
  
  CTSA Profile: Erich Huang - Putting Big Data Ideas Into Action
Awards & Honors
- Innovations in Regulatory Science. Burroughs Wellcome Fund. June 2015
- Translational Science Award. Sidney Kimmel Cancer Research Foundation. 2009
Expertise
Global Scholarship
- Research
  - Taiwan (Country)
Research
Selected Grants
- Medical Scientist Training Program awarded by National Institutes of Health 1997 - 2022
- Postdoctoral Training in Genomic Medicine Research awarded by National Institutes of Health 2017 - 2022
- Bridging the Gap to Enhance Clinical Research Program (BIGGER) awarded by National Institutes of Health 2016 - 2021
- Bioinformatics and Computational Biology Training Program awarded by National Institutes of Health 2005 - 2021
- Infrastructure for Research Provenance & Reproducibility to Support Auditable Regulatory Scientic Workflows awarded by Burroughs Wellcome Fund 2015 - 2020
- A Dialog about AI Safety and Transparency in Health Care awarded by Gordon & Betty Moore Foundation 2018 - 2019
- SC2i awarded by Henry M. Jackson Foundation 2014 - 2019
- Increasing the Quality and Efficiency of Clinical Trials (R18) awarded by Food and Drug Administration 2014 - 2019
- Flexible & Executable Provenance in Data-Intensive Biomedical Research: A Flexible Research Data Service awarded by National Institutes of Health 2015 - 2019
- Machine Learning Platform for Surgical Risk Prediction and Modification awarded by kelaHealth, Inc 2017 - 2018
- Duke/NIDDK Functional Genomics Center awarded by National Institutes of Health 2000 - 2003
Publications & Artistic Works
Selected Publications
- Academic Articles
  - Cobb, AN, Benjamin, AJ, Huang, ES, and Kuo, PC. "Big data: More than big data sets." Surgery 164, no. 4 (October 2018): 640-642. Full Text
  - Poore, GD, Ko, ER, Valente, A, Henao, R, Sumner, K, Hong, C, Burke, TW, Nichols, M, McClain, MT, Huang, ES, Ginsburg, GS, Woods, CW, and Tsalik, EL. "A miRNA Host Response Signature Accurately Discriminates Acute Respiratory Infection Etiologies." Frontiers in Microbiology 9 (January 2018): 2957-null. Full Text
  - Cheng, SH, Horng, C-F, Huang, T-T, Huang, ES, Tsou, M-H, Shi, L-S, Yu, B-L, Chen, C-M, and Huang, AT. "An Eighteen-Gene Classifier Predicts Locoregional Recurrence in Post-Mastectomy Breast Cancer Patients." Ebiomedicine 5 (March 2016): 74-81. Full Text
  - Guinney, J, Ferté, C, Dry, J, McEwen, R, Manceau, G, Kao, KJ, Chang, K-M, Bendtsen, C, Hudson, K, Huang, E, Dougherty, B, Ducreux, M, Soria, J-C, Friend, S, Derry, J, and Laurent-Puig, P. "Modeling RAS phenotype in colorectal cancer uncovers novel molecular traits of RAS dependency and improves prediction of response to targeted agents in patients." Clinical Cancer Research : an Official Journal of the American Association for Cancer Research 20, no. 1 (January 2014): 265-272. Full Text
  - Ferté, C, Trister, AD, Huang, E, Bot, BM, Guinney, J, Commo, F, Sieberts, S, André, F, Besse, B, Soria, J-C, and Friend, SH. "Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology." Clinical Cancer Research : an Official Journal of the American Association for Cancer Research 19, no. 16 (August 2013): 4315-4325. (Review) Full Text
  - Gutman, DA, Cooper, LAD, Hwang, SN, Holder, CA, Gao, J, Aurora, TD, Dunn, WD, Scarpace, L, Mikkelsen, T, Jain, R, Wintermark, M, Jilwan, M, Raghavan, P, Huang, E, Clifford, RJ, Mongkolwat, P, Kleper, V, Freymann, J, Kirby, J, Zinn, PO, Moreno, CS, Jaffe, C, Colen, R, Rubin, DL, Saltz, J, Flanders, A, and Brat, DJ. "MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set." Radiology 267, no. 2 (May 2013): 560-569. Full Text
  - Ferte, C, Guinney, J, Derry, J, huang, EH, Besse, B, and Soria, J-C. "Abstract 1199: NSCLC KRAS G12C and G12V mutations drive different pathways and display specific drug sensitivity patterns." Cancer Research 73, no. 8 Supplement (April 15, 2013): 1199-1199. Full Text
  - Guinney, J, Ferte, C, Huang, E, Derry, J, and Friend, S. "Abstract 2409: A model of RAS pathway in colorectal cancer elucidates molecular traits and drug sensitivity: an integrated analysis of gene expression from human tumors, mouse xenografts and the Cancer Cell Line Encyclopedia (CCLE)." Cancer Research 73, no. 8 Supplement (April 15, 2013): 2409-2409. Full Text
  - Margolin, AA, Bilal, E, Huang, E, Norman, TC, Ottestad, L, Mecham, BH, Sauerwine, B, Kellen, MR, Mangravite, LM, Furia, MD, Vollan, HKM, Rueda, OM, Guinney, J, Deflaux, NA, Hoff, B, Schildwachter, X, Russnes, HG, Park, D, Vang, VO, Pirtle, T, Youseff, L, Citro, C, Curtis, C, Kristensen, VN, Hellerstein, J, Friend, SH, Stolovitzky, G, Aparicio, S, Caldas, C, and Børresen-Dale, A-L. "Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer." Science Translational Medicine 5, no. 181 (April 2013): 181re1-null. Full Text
  - Trister, AD, and Huang, ES. "A Network-Heuristic Approach to Improve the Impact of Genomic Data on Drug Discovery." CLINICAL PHARMACOLOGY & THERAPEUTICS 93, no. 4 (April 2013): 295-297. Full Text Link to Item
  - LaBreche, HG, Nevins, JR, and Huang, E. "Integrating factor analysis and a transgenic mouse model to reveal a peripheral blood predictor of breast tumors. (Published online)" BMC Med Genomics 4 (July 22, 2011): 61-. Full Text Link to Item
  - Huang, ES, and Huang, AT. "Genomics in the Diagnosis and Management of Breast Cancer." (2010): 446-456. Full Text
  - Huang, ES, and Huang, AT. "Breast Cancer and Genomic Medicine." (2009): 869-878. Full Text
  - Cheng, SH, Horng, C-F, West, M, Huang, E, Pittman, J, Tsou, M-H, Dressman, H, Chen, C-M, Tsai, SY, Jian, JJ, Liu, M-C, Nevins, JR, and Huang, AT. "Genomic prediction of locoregional recurrence after mastectomy in breast cancer." J Clin Oncol 24, no. 28 (October 1, 2006): 4594-4602. Full Text Link to Item
  - Pittman, J, Huang, E, Nevins, J, Wang, Q, and West, M. "Bayesian analysis of binary prediction tree models for retrospectively sampled outcomes." Biostatistics (Oxford, England) 5, no. 4 (October 2004): 587-601. Full Text
  - Huang, ES, Nevins, JR, West, M, and Kuo, PC. "An overview of genomic data analysis." Surgery 136, no. 3 (September 2004): 497-499. Full Text Link to Item
  - Pittman, J, Huang, E, Dressman, H, Horng, C-F, Cheng, SH, Tsou, M-H, Chen, C-M, Bild, A, Iversen, ES, Huang, AT, Nevins, JR, and West, M. "Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes." Proceedings of the National Academy of Sciences of the United States of America 101, no. 22 (June 2004): 8431-8436. Full Text
  - Nevins, JR, Huang, ES, Dressman, H, Pittman, J, Huang, AT, and West, M. "Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction." Human Molecular Genetics 12 Spec No 2 (October 2003): R153-R157. (Review) Full Text
  - Huang, ES, Black, EP, Dressman, H, West, M, and Nevins, JR. "Gene expression phenotypes of oncogenic signaling pathways." Cell Cycle (Georgetown, Tex.) 2, no. 5 (September 2003): 415-417. (Review)
  - Huang, E, Ishida, S, Pittmann, J, Dressman, H, Bild, A, Kloos, M, D'Amico, M, Pestell, RG, West, M, and Nevins, JR. "Erratum: Gene expression phenotypic models that predict the activity of oncogenic pathways." Nature Genetics 34, no. 4 (August 2003): 465-465. Full Text
  - Black, EP, Huang, E, Dressman, H, Rempel, R, Laakso, N, Asa, SL, Ishida, S, West, M, and Nevins, JR. "Distinct gene expression phenotypes of cells lacking Rb and Rb family members." Cancer Res 63, no. 13 (July 1, 2003): 3716-3723. Link to Item
  - Huang, E, Ishida, S, Pittman, J, Dressman, H, Bild, A, Kloos, M, D'Amico, M, Pestell, RG, West, M, and Nevins, JR. "Gene expression phenotypic models that predict the activity of oncogenic pathways." Nature Genetics 34, no. 2 (June 2003): 226-230. Full Text
  - Huang, E, Cheng, SH, Dressman, H, Pittman, J, Tsou, MH, Horng, CF, Bild, A, Iversen, ES, Liao, M, Chen, CM, West, M, Nevins, JR, and Huang, AT. "Gene expression predictors of breast cancer outcomes." Lancet 361, no. 9369 (May 10, 2003): 1590-1596. Full Text Link to Item
  - Huang, E, West, M, and Nevins, JR. "Gene expression profiling for prediction of clinical characteristics of breast cancer." Recent Prog Horm Res 58 (2003): 55-73. (Review) Link to Item
  - West, M, Blanchette, C, Dressman, H, Huang, E, Ishida, S, Spang, R, Zuzan, H, Olson, JA, Marks, JR, and Nevins, JR. "Predicting the clinical status of human breast cancer by using gene expression profiles." Proceedings of the National Academy of Sciences of the United States of America 98, no. 20 (September 18, 2001): 11462-11467. Full Text
  - Ishida, S, Huang, E, Zuzan, H, Spang, R, Leone, G, West, M, and Nevins, JR. "Role for E2F in control of both DNA replication and mitotic functions as revealed from DNA microarray analysis." Molecular and Cellular Biology 21, no. 14 (July 2001): 4684-4699. Full Text
  - Leone, G, Sears, R, Huang, E, Rempel, R, Nuckolls, F, Park, CH, Giangrande, P, Wu, L, Saavedra, HI, Field, SJ, Thompson, MA, Yang, H, Fujiwara, Y, Greenberg, ME, Orkin, S, Smith, C, and Nevins, JR. "Myc requires distinct E2F activities to induce S phase and apoptosis." Molecular Cell 8, no. 1 (July 2001): 105-113. Full Text
- Conference Papers
  - Trister, AD, Bot, B, Hawkins-Daarud, A, Fontes, K, Bridge, C, Baldock, A, Rockne, R, Huang, E, and Swanson, K. "Use of a novel patient-specific model of glioma growth kinetics to elucidate underlying biology as measured by gene expression microarray." : American Society of Clinical Oncology (ASCO), October 20, 2012. Full Text
  - Trister, AD, Bot, B, Fontes, K, Bridge, C, Baldock, AL, Rockhill, JK, Mrugala, MM, Rockne, RR, Huang, E, and Swanson, KR. "A NOVEL PATIENT-SPECIFIC MODEL OF GLIOMA GROWTH KINETICS ELUCIDATES UNDERLYING BIOLOGY AS MEASURED BY GENE EXPRESSION MICROARRAY." October 2012. Link to Item
  - Pittman, JL, Tebbit, CL, Black, EP, Dressman, HK, Huang, ES, Olson, JA, Marks, JR, Marcom, PK, Huang, AT, West, M, and Nevins, JR. "Predictive models that combine multiple forms of genomic and clinical data to achieve personalized prediction of outcomes in breast cancer." 2004. Link to Item
Teaching & Mentoring
Recent Courses
- MMCI 517: Spreadsheet Modeling and Decision Analysis 2018

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Education, Training, & Certifications

Duke Appointment History

In the News

Awards & Honors

Global Scholarship

Research

Selected Grants

Selected Publications

Academic Articles

Conference Papers

Recent Courses