Jie is a Ph.D. student in Dartmouth's Molecular and Cellular Biology program. She is originally from Qingdao, China and graduated from Zhejiang University with a B.A in Biotechnology in 2012. She joined the Integrative Genomics Lab in the summer of 2013. She has published papers on the analysis of time-series data for functional network construction, rule compaction for learning classifier systems, and unsupervised feature construction methods for genomic data. Jie has also been awarded aNeukom Graduate Fellowship. Currently, she is developing algorithms based on deep learning and applying them to large-scale transcriptomic data to extract general principles of biology from the data.
Greg is a Ph.D. student in Dr. Casey Greene's Integrative Genomics Lab through Penn's Genomics and Computational Biology program. Greg graduated from The College of New Jersey in 2011 with a B.S. in Biology and from Saint Joseph's University in 2014 with an M.S. in Biology. He joined the lab in 2015 as a member of the Quantitative Biomedical Sciences Ph.D. program at Dartmouth College and transferred with Casey to continue his graduate training at the University of Pennsylvania. He is interested in integrating genomic data to the development of new methods working towards improving human health. His goal is for these methods to help address large scale genetic human health problems such as cancer and other complex human diseases.
Brett graduated in 2011 with a B.S. in Computer Science from Boston College. After graduation he worked as a technology consultant doing information management and data science at large financial institutions. He co-founded Wymsee, an entertainment technology company in 2012. He is a Ph.D. student in Penn's Genomics and Computational Biology program. He is a member of both the Greene and Moore labs. His research centers on using deep learning-based methods to more precisely define phenotypes from large-scale data repositories, e.g. those contained in clinical records.
Kathy is an undergraduate at the University of Pennsylvania studying Biochemistry and Computer Science. She joined the Greene lab to learn more about the intersection of her two majors. Kathy's current project involves the identification of pathway-pathway relationships from genomic "big data" using patterns extracted by deep learning techniques. Long-term, she plans to continue developing and applying computational algorithms to address key challenges in the life sciences.
Timothy is an undergraduate at the University of Pennsylvania studying Biochemistry, Finance, and Operations and Information Management. He found the Greene Lab through the intersection of his majors and interests: biological systems, information systems, and computer science. Currently, Timothy is working on integrating genomic data and computational methods towards strengthening our understanding on cancer and other diseases. While he may have been captured by the finance life this summer, his future may lay ahead in any of these diverse fields or their intersections.
Michael is studying Computer Science and Mathematics at Dartmouth College. He is a native of Texas and has worked as a programmer and lab technician in Dallas. He is interested in the application of novel machine learning techniques, especially in bioinformatics. In the future Michael seeks to further investigate dynamic systems and their value in biological processes.
Roshan is a junior in the Life Sciences and Management program at Penn studying mathematical biology and statistics. He is especially interested in studying the interactions between biology, mathematics, statistics, and other related areas. His current project involves building an ADAGE model to analyze gene expression in kidney biopsies.