A. Ercument Cicek

Assistant Professor
Bilkent University
Case Western Reserve University
Thesis Advisor: Gultekin Ozsoyoglu
Postdoctoral Advisors: Ziv Bar-Joseph and Kathryn Roeder

Google Scholar

Ercument received his B.S. and M.S. degrees in Computer Science and Engineering at Sabanci University. He earned his Ph.D. in Computing and Information Sciences from Case Western Reserve University in 2013. During his Ph.D. training, he worked on algorithms to detect signatures in omics data for complex diseases using information theory and  biochemical networks. He also worked on design and development of online systems and online biological databases such as PathCase. After working mainly on the metabolome and the transcriptome, currently, he is interested in developing methods to analyze the genome to understand the mechanisms of genomic perturbations leading to disease.

Christopher Langmead

Dr. Langmead’s research is focused on the development and application of passive and active machine learning algorithms to address critical challenges in Medicine and Bioengineering.  His collaborators include physicians from the University of Pittsburgh Medical Center, the Cleveland Clinic, and the Ohio State University College of Medicine, as well as biological and chemical engineers from Carnegie Mellon.  Recent projects include the development of algorithms for: (i) learning models capable of triaging patients with acute pancreatitis; (ii) phenotyping and disease progression modeling for pulmonary hypertension; (iii) automated clone selection for clinical cell-based tissue engineering, and (iv) automated design and optimization of chimeric proteins for therapeutic and industrial applications.