Ma’ayan Lab Members, Summer 2018 (missing from photo: Kathleen Jagodnik)
Head of Laboratory
Avi Ma’ayan PhD
Mount Sinai Endowed Professor in Bioinformatics
Professor, Department of Pharmacological Sciences
Director, Mount Sinai Center for Bioinformatics
Principal Investigator, BD2K-LINCS Data Coordination and Integration Center
Principal Investigator, Mount Sinai’s Knowledge Management Center for Illuminating the Druggable Genome
Icahn School of Medicine at Mount Sinai
E-mail: avi.maayan@mssm.edu
Project Manager
Sherry Jenkins, MS
Project Manager III
MS in Computer Science
Fairleigh Dickinson University
E-mail: sherry.jenkins@mssm.edu
Biomedical Data Scientist
Daniel Clarke, MS
Data Science Analyst II
BS, MS in Computer Engineering and Electrical Engineering
Fairleigh Dickinson University
E-mail: daniel.clarke@mssm.edu
Research Faculty
Alexander Lachmann, PhD
Research Assistant Professor
PhD in Biomedical Informatics
Columbia University
E-mail: alexander.lachmann@mssm.edu
Postdoctoral Fellows
Alon Bartal, PhD
PhD in Information Systems
Ben-Gurion University of the Negev
E-mail: alon.bartal@mssm.edu
Kathleen Jagodnik, PhD
PhD in Biomedical Engineering
Case Western Reserve University
E-mail: kathleen.jagodnik@mssm.edu
Minji Jeon, PhD
PhD in Computer Science and Engineering
Korea University
E-mail: minji.jeon@mssm.edu
PhD Student
Megan Wojciechowicz, MS
PhD Student, Icahn School of Medicine at Mount Sinai
MS in Bioinformatics, Northeastern University
BS in Nursing, Binghamton University, State University of New York
BS in Cell and Molecular Biology, Binghamton University, State University of New York
E-mail: megan.wojciechowicz@icahn.mssm.edu
Bioinformaticians
John Erol Evangelista, MS
Bioinformatician II
BS, MS in Computer Science
University of the Philippines Diliman
E-mail: johnerol.evangelista@mssm.edu
Eryk Kropiwnicki, MS
Bioinformatician I
MS in Biomedical Sciences, Icahn School of Medicine at Mount Sinai
BS in Biological Sciences, Fordham University
E-mail: eryk.kropiwnicki@icahn.mssm.edu
Maxim Kuleshov, MS
Bioinformatician I
BS, MS in Informatics and Control Systems
Bauman Moscow State Technical University
E-mail: maxim.kuleshov@mssm.edu
Ingrid Shu, BA
Bioinformatician I
BA in Computer Science, Mathematics
Amherst College
E-mail: ingrid.shu@mssm.edu
Sherry Xie, BS
Bioinformatician I
BS in Computer Science
Cornell University
E-mail: zhuorui.xie@mssm.edu
Associate Researcher
Allison Bailey, MPH
Senior Associate Researcher
MPH in Epidemiology of Infectious Diseases, Columbia University
BS in Zoology, Colorado State University
E-mail: allison.bailey@mssm.edu
2020 Undergraduate Research Trainees in our Biomedical Big Data Science Program
Tahmid Ahamed
Trainee
Computer Science and Economics, University of Pennsylvania
Project: Tracing Single Human and Mouse Gene Expression with Age
Samantha Bhuiyan
Trainee
Computer Science and Psychology, Barnard College, Columbia University
Project: Functional Predictions for Undiagnosed Disease Network (UDN) Genes
Jessie Cheng
Trainee
Biological Sciences and Computational Biology, Carnegie Mellon University
Project: Analysis and Visualization of SARS-CoV-2 Gene Expression Signatures
Charles Dai
Trainee
Biology and Computer Science, Cornell University
Project: Appyters to Extract, Transform, and Load (ETL) Data for the Harmonizome
Lucas Goldman
Trainee
Computer Science and Mathematics, Vanderbilt University
Project: L1000KD2: Analysis and Visualization of the LINCS L1000 shRNA Gene Knock-Down Dataset
Jason Hom
Trainee
Computer Science, University of Pennsylvania
Project: Gene Set Comparison Appyter
Julie Karam
Trainee
Computational Biology, Brown University
Project: GeneBot and DrugBot – Slack Applications to Discover Knowledge about Genes and Drugs
Skylar Litz
Trainee
Computer Science and Mathematics, Harvey Mudd College
Project: Enrichr Visualization Appyters
Nicole Moiseyev
Trainee
Neuroscience and Computer Science, Duke University
Project: An Appyter for the Visualization and Characterization of Cancer Patient Clusters based on RNA-Seq Profiles
Daniel Stein
Trainee
Computer Science and Engineering, Massachusetts Institute of Technology
Project: Drugmonizome-ML: An Appyter for Predicting Drug Indications
Christine Yoon
Trainee
Computer Science and Chemistry, Duke University
Project: Functional Predictions for Non-Coding Genes
Serena Zhang
Trainee
Computer Science and Cognitive Science, University of Pennsylvania
Project: The KINOMEscan and KEA3 Appyters
High School Students
Emma Yang
Brearley School
Project: Connecting Researchers Based on the Genes and Diseases They Study
Abigail Zhou
Hunter College High School
Project: Quantifying the Overlap among Disease Associated Gene Sets Created from Multiple Sources