Alexander J. Hartemink, Professor  

Alexander J. Hartemink

Computational biology, machine learning, Bayesian statistics, systems biology, transcriptional regulation, genomics and epigenomics, graphical models, Bayesian networks, computational neurobiology, classification, feature selection

Ph.D., Massachusetts Institute of Technology, 2001
S.M. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1997
M.Phil. in Economics, Oxford University, 1996
M.Phil., University of Oxford (UK), 1996
A.B. in Economics, Duke University, 1994
B.S., Duke University, 1994
B.S., Duke University, 1994

Office Location: 308 Research Drive, LSRC D239, Durham, NC 27708-0129
Office Phone: (919) 660-6514
Email Address:
Web Page:

Artificial Intelligence

Recent Publications   (More Publications)   (search)

  1. McDowell, IC; Barrera, A; D'Ippolito, AM; Vockley, CM; Hong, LK; Leichter, SM; Bartelt, LC; Majoros, WH; Song, L; Safi, A; Koçak, DD; Gersbach, CA; Hartemink, AJ; Crawford, GE; Engelhardt, BE; Reddy, TE, Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding., Genome Res, vol. 28 no. 9 (September, 2018), pp. 1272-1284 [doi]  [abs].
  2. Welch, JD; Hartemink, AJ; Prins, JF, MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics., Genome Biology, vol. 18 no. 1 (July, 2017), pp. 138 [doi]  [abs].
  3. Mayhew, MB; Iversen, ES; Hartemink, AJ, Characterization of dependencies between growth and division in budding yeast., Journal of the Royal Society, Interface, vol. 14 no. 127 (February, 2017) [doi]  [abs].
  4. Sparks, EE; Drapek, C; Gaudinier, A; Li, S; Ansariola, M; Shen, N; Hennacy, JH; Zhang, J; Turco, G; Petricka, JJ; Foret, J; Hartemink, AJ; Gordân, R; Megraw, M; Brady, SM; Benfey, PN, Establishment of Expression in the SHORTROOT-SCARECROW Transcriptional Cascade through Opposing Activities of Both Activators and Repressors., Developmental Cell, vol. 39 no. 5 (December, 2016), pp. 585-596 [doi]  [abs].
  5. Welch, JD; Hartemink, AJ; Prins, JF, SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data., Genome Biology, vol. 17 no. 1 (May, 2016), pp. 106 [doi]  [abs].