Marc Fink is a cell biologist with a focus on cancer signaling networks and systems biology.  Currently, he is focused on developing novel approaches to integrate signaling network information and pharmacogenomics data into tailored cancer therapy protocols. Prior to Mt Sinai, he worked on the signaling network and development of drug resistance in HER2-positive breast cancers in the Dept. of Biomedical Sciences at LIU Post.  He obtained his B.S. from Queens College-CUNY in chemistry, Ph.D. in Biomedical Sciences from the Icahn School of Medicine at Mount Sinai, and he did his PostDoc at Weill Cornell Medical College.

Dr. Zhou Xiang. Data leader in Chen Lab, got Computational Biology in Columbia University, New York, NY  in 2011. Over ten years’ experience in Information Technology and 5 years' project management experience as well as  5 years’ experience in supporting science and clinical research. Developed clinical trial management system which greatly improved research assistants’ efficiency in identifying and managing enrolled patients

Kristin Ayers is a statistical geneticist with a focus on genetic association studies. She earned her PhD in Biomathematics from UCLA working on methods for haplotype estimation and association. She did her Postdoc at Newcastle University in the UK focusing primarily on penalized regression methods for GWAS and rare variant analysis. A list of publications can be found here. At Mt Sinai, her current research projects involve the investigation of predicted functional variants in healthy and disease populations.

Jon McCafferty is a bioinformatician with a focus on data analysis and software development.  He received his PhD in bioinformatics and computational biology from the University of North Carolina at Charlotte.  He previously worked in the informatics core at the Forsyth Institute in Boston Massachusetts, where he focused on using high-throughput technologies to profile human associated microbial communities and to characterize community structure, function and diversity.  He is interested in data mining and applying machine learning algorithms to genomic data.

Hong Lu is a bioinformatician with a NGS focus specializing in NGS variant calling and QC method development. With over 14 years of NGS bioinformatics experience in supporting research and clinical  operations, he developed variant calling pipelines that improved  variant calling sensitivity and specificity.  He co-discovered a NGS quality filter algorithm method that is currently still in use in Ion Torrent sequencers.  He obtained his M.S.  in Biophysics and Biochemistry from University of Minnesota, Twin Cities.  More in his linkedin:  https://www.linkedin.com/in/hong-lu-03a8508

Janet Hager obtained her BSc degree in Biology in the UK and joined the graduate program in Biology at the University of Virginia earning her Doctoral degree with Dr. Oscar Miller Jr. visualizing gene activity in Drosophila.  She completed her postdoctoral training at Stanford University and UCLA investigating muscle cell lineage in chicken limb development and early gene activation in mouse muscle satellite cells after injury. Returning to the east coast, she took a position at Yale University Medical School within the Keck Biotechnology Resource Lab and was the founding director of the Keck Microarray Resource. Following her experience at Yale she was a Senior Study Director and Product Manager, DNA Sequencing in a contract research company overseeing SNP discovery, resequencing and targeted genotyping projects. Janet joined the faculty at University of Connecticut Health Center in 2009 as Director of the Translational Genomics Core and established Illumina GAIIx and HiSeq 2000 high throughput next gen sequencing services. Most recently Janet transitioned into molecular diagnostics at Yale. Initially she was involved in validating and transferring a lab developed CML test to an international standard. Subsequently she was a clinical analyst in the tumor profiling lab and was responsible for curating somatic variants identified by next gen sequencing and preparing clinical reports.

Meng Ma is postdoc with a focus on data mining analysis on genome data. He obtained a PhD in computer science from University of Science and Technology of China. He did PostDoc in the University of North Carolina at Chapel Hill on gene alternative splicing regulatory mechanism study. His research areas are on (1) Mendelian diseases modifiers identification through clinical phenotypes. (2) The pathogenetic mechanism of diseases-associated variants at molecular level.

Aye Sandar Moe is a bioinformatics engineering coming from software engineering background.   Aye graduated with a Bachelor degree in Computer Engineering from Polytechnic Institute of NYU and obtained a Masters Degree in Information Systems from New York University.   Prior to working at Mount Sinai, Aye worked as a software developer in Zoteca Inc and Goldman Sachs.  At Mount Sinai, she’ll be working on automating and optimization of the various processes and aspects involved in Personalized Cancer Therapy research study.  For more info, check out Aye’s LinkedIn.