The School of Science is pleased to welcome two new tenure-track faculty members, who each joined TCNJ beginning Fall 2013. Brief biographical sketches for our new colleagues are listed below.
Dr. Michael Ochs (Mathematics and Statistics) is a computational statistician 
specializing in the analysis of biological systems. He completed his baccalaureate degree in chemistry at Haverford College, his masters degree in Celtic Languages and Literatures at Harvard University, and earned his Ph.D. from Brandeis University in Physics with a research focus on observational extragalactic radioastronomy and the determination of magnetic fields in quasars. He spent 10 years at the Fox Chase Cancer Center developing Bayesian statistical methods for handling high-throughput biological data before joining the Department of Oncology at Johns Hopkins University. For the last seven years as an Associate Professor at Johns Hopkins, he has focused on the development of statistical methods integrating prior biological knowledge and diverse high-throughput molecular measurements to elucidate cell signaling processes in cancer, including determination of specific molecular aberrations driving cancer growth and on- and off-target effects of cancer therapeutics. He has published over 50 peer-reviewed papers and has served as Principal Investigator on four grants from the National Institutes of Health (NIH), including an ongoing R01, as well as Co-Investigator on numerous NIH-funded efforts. He serves as an Associate Editor at BMC Bioinformatics and at Frontiers in Bioinformatics and Computational Biology.
Dr. Dimitris Papamichail (Computer Science) is a computer scientist specializing in
algorithms and computational biology. He completed his baccalaureate degree in computer engineering and informatics at the University of Patras in Greece, earned his Ph.D. in computer science at Stony Brook University, and has held a position at the University of Miami. His research focuses on practical algorithmic problems, primarily drawn from the life sciences, and is largely driven by collaborations. He is interested in synthetic biology and the design of protein coding sequences with enhanced properties, genomic sequence classification, design and implementation of efficient bioinformatics tools, metaheuristic optimization and game design. He has published in peer-reviewed conference proceedings, journals, and book chapters, and his research has been funded by the National Science Foundation (NSF).