Habtom W. Ressom, Ph.D.

Professor

Dr. Ressom is a professor of Oncology at Georgetown University Medical Center. He is interested in cancer biomarker discovery and systems biology research by analysis of omics data. Specifically, he uses chromatographic and mass spectrometric methods to detect and quantitate biomolecules such as peptides, glycans, and metabolites in human blood and tissues. His laboratory develops computational methods for analysis of mass spectrometric data and integration of omics data to identify cancer biomarkers and aberrant pathways and network activities. Dr. Ressom's laboratory is funded by grants from the National Institutes of Health. He is the Director of the Georgetown Lombardi Genomics and Epigenomics Shared Resource, which provides various services including gene expression profiling, microRNA expression profiling, DNA methylation analysis, DNA copy number variation (CNV) analysis, SNP genotyping, label-free molecular interaction analysis, siRNA screening, and next generation sequencing.

Top
Email: hwr@georgetown.edu      Office: 175 Building D      Phone:202-687-2283
Rency S. Varghese, M.S.

Research Associate

Ms. Varghese obtained her M.S. degree in Electrical Engineering from University of Maine, Orono in 2004 and her Bachelors degree in Electrical and Electronics Engineering from College of Engineering, Trivandrum, India in 1999. She worked as software engineer/consultant for two years in India. Before joining LCCC in 2004, she worked as Research Assistant during her study at University of Maine, where she applied methods such as artificial neural networks, fuzzy logic, and evolutionary computing for microarray data analysis and DNA base calling. She is currently working on the development of machine learning methods for analysis of mass spectrometry data.

Top
E-mail: rsv4@georgetown.edu    Office: 174 Building D     Phone:202-687-7369
Cristina Di Poto, Ph.D.

Postdoctoral Research Fellow

Dr. Di Poto received her Ph.D. in Biochemistry from University of Pavia, Italy in 2008 and her Bachelor degree in Biological Sciences, Biology, from University of Pavia, Italy in 2003. She is currently focused on developing optimal sample preparation, mass spectrometry data acquisition, analysis and interpretation in omics research.

Top
Email: cd329@georgetown.edu      Office: W325 Research Building      Phone:202-687-2926
Alessia Ferrarini, Ph.D.

Postdoctoral Research Fellow

Dr. Ferrarini obtained her Ph.D. in Medicinal Chemistry from San Pablo CEU University in Madrid, Spain in 2014 and her MSc in Pharmacy in 2010 from University of Modena and Reggio Emilia, Italy. She is interested in biomarker discovery with a particular focus on metabolomics. She is currently involved in sample treatment development and optimization for LC-MS and GC-MS analysis, data acquisition and interpretation of metabolomics results.

Top
Email: af870@georgetown.edu      Office: W325 Research Building      Phone:202-687-4453
Kevin Minkun Wang

Research Assistant

Minkun Wang received his B.S. degree in Electrical Engineering from University of Science and Technology of China. He is currently a PhD candidate in the Department of Electrical & Computer Engineering at Virginia Tech. His research interest focuses on omics data processing, probabilistic modeling, Bayesian inference and machine learning. He is aiming to apply statistical machine learning methods to omics data analysis.

Top
Email: mw903@georgetown.edu      Office: 176 Building D      Phone:202-687-9396
Mike Yiming Zuo

Research Assistant

Yiming Zuo received his B.S. degree in the Information Science & Electronic Engineering from Zhejiang University, China in 2012. He is currently a Ph.D. candidate in the Department of Electrical & Computer Engineering at Virginia Tech. His research interest is in applying machine learning methods and probabilistic graphical models on network and pathway analysis in systems biology.

Top
Email: yz335@georgetown.edu      Office: 173 Building D      Phone:202-687-3381
Shisi He

Student Research Assistant

Shisi He received her B.S. degree in Biostatistics from Southern Medical University, China in 2014. She is currently a M.S. student at Georgetown University in Department of Biostatistics, Bioinformatics and Biomathematics. Her reseach interest is statistical inference and Multivariate data analysis.

Top
Email: sh1256@georgetown.edu      Office: 173 Building D      Phone:202-687-1387



Former Lab Members
  • Chao Tu, received his B.S. degree in Biostatistics from Southern Medical University, China in 2013, and M.S. degree at Georgetown University in Department of Biostatistics, Bioinformatics and Biomathematics in 2016.
  • Mohammad R. Nezami Ranjbar, Ph.D. received his B.S. and M.S. in electrical engineering from Sharif University of Technology, Iran and his Ph.D in electrical engineering from Virginia Tech. His research interests include bioinformatics, machine learning, statistical analysis, and signal processing.
  • Tsung-Heng Tsai, Ph.D., received his Ph.D. degree in Electrical Engineering (2014), Virginia Tech, and his M.S. degree in Electrical and Control Engineering (2005), National Chiao Tung University, Taiwan. He is now working as a postdoctoral research fellow at Northeast University. His research focuses on applications of statistical machine learning to problems in biomarker discovery and systems biology.

  • Yue Luo (Karen), M.S., received her M.S. degree in analytical chemistry from University of Vermont, and her B.S. degree from Zhejiang University, China. She is now working as a senior MS field applications specialist at Waters.

  • Jinlian Wang, Ph.D., received her Ph.D. in Artificial Intelligence from College of Electrical Information and Control Engineering, Beijing University of Technology, China in 2008. She currently works at Genetic and Genomics Clinical Lab at Icahn Mount Sinai Medical School as a Bioinformatics Scientist. Her research direction is helping clinician to diagnosis novel variants using NGS and developing pipeline to analyze NGS data.

  • Yi Zhao, M.S., received her B.S. in statistics from School of Mathematical Sciences, Nankai University, China. She got her M.S. in biostatistics from Georgetown University, USA in 2012. Her research interest is non-parametric statistics and high-dimensional data.

  • Bin Zhou, M.S., received his B.S. degree from Wuhan University, China and M.S. degree from Zhejiang University, China and Virginia Tech all in Electrical Engineering. His research interest focuses on developing signal processing and machine learning methods for analysis of metabolomic data.

  • JunFeng Xiao, Ph.D.,received his PhD in Analytical Chemistry from Rensselaer Polytechnic Institute (RPI) in 2009. He is interested in applying mass spectrometry for both proteomics and metabolomics studies.

  • Yuji Zhang, Ph.D., Virginia Tech (Currently Assistant Professor of Medical Informatics, Mayo Clinic, Rochester, MN )Ph.D. Thesis (2005-10): "Module-based analysis of biological data for network inference and biomarker discovery"

  • Leepika Tuli, Ph.D., Postdoctoral Research Fellow, Georgetown University

  • Zhiqun Tang, Ph.D., Postdoctoral Research Fellow, Georgetown University

  • Getachew K. Befekadu, Ph.D., Postdoctoral Research Fellow, Georgetown University

  • Lanlan Yin, M.S., Georgetown University

  • Kevin Turner, M.S., University of Maine. M.S. Thesis (2005-07): "Estimation of ocean water chlorophyll-a concentration using fuzzy c-means clustering and artificial neural networks"

  • Mohamad Driss, M.S., University of Maine. M.S. Thesis (2002-05): "Nonlinear PCA based on radial basis function and particle swarm optimization"

  • Kamal Shannak, M.S., University of Maine. M.S. Thesis (2002-04): "On nonlinear principal component analysis for process monitoring"

  • Rency S. Varghese, M.S., University of Maine. M.S. Thesis (2002-04): "Confidence measure for DNA base calling using a fuzzy system"

  • Siva Srirangam, M.S., University of Maine. M.S. Thesis (2002-04) "Retrieval of oceanic and physiological parameters using computational intelligence"

  • Wayne H. Slade, Jr., M.S., University of Maine. M.S. Thesis (2001-04) "Computational intelligence approaches to ocean color inversion"

  • Dali Wang, M.S., University of Maine. M.S. Thesis (2000-03): "Adaptive double self-organizing map for clustering gene expression data"

  • Robert Reynolds, M.S., University of Maine. M.S. Thesis (2000-01): "Gene expression data analysis using fuzzy logic"

  • Yuqing Zhang, High school intern

  • TOP