{"id":2823,"date":"2025-09-05T22:32:17","date_gmt":"2025-09-05T22:32:17","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/?page_id=2823"},"modified":"2026-01-07T20:30:55","modified_gmt":"2026-01-07T20:30:55","slug":"summer-program-trainees","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/team\/alumni\/summer-program-trainees\/","title":{"rendered":"Summer Program Alumni"},"content":{"rendered":"

\"\"<\/h3>\n

Several of our former summer research program trainees in the Ma’ayan Lab have entered PhD, MD\/PhD and MD programs at Icahn School of Medicine at Mount Sinai, Princeton, MIT, Columbia, Duke, Cornell, Yale, Harvard, Stanford, and University of Pennsylvania.<\/p>\n

Former Summer Undergraduate Research Trainees<\/strong><\/h3>\n

\"\"
\nBilal Ali<\/strong>
\nTraining Period in Lab: Summer 2024
\nComputer Science and Applied Mathematics, Brown University<\/p>\n

\n

\"\"
\nEugenia Ampofo, BA<\/strong>
\nTraining Period in Lab: Summer 2024
\nComputational Biology, Brown University<\/p>\n

\n

\"\"
\nAndrew Chung<\/strong>
\nTraining Period in Lab: Summer 2024
\nBiometry and Statistics, Cornell University<\/p>\n

\n

\"\"
\nSophie Gideon<\/strong>
\nTraining Period in Lab: Summer 2024
\nStatistics (major), Cognitive Neuroscience (minor), Brown University<\/p>\n

\n

\"\"
\nEric Lee<\/strong>
\nTraining Period in Lab: Summer 2024
\nComputer Science (major), Computational Biology (minor), Duke University<\/p>\n

\n

\"\"
\nKareena Legare<\/strong>
\nTraining Period in Lab: Summer 2024
\nStatistical Science (major), Computer Science (minor), Duke University<\/p>\n

\n

\"\"
\nNathania Lingam<\/strong>
\nTraining Period in Lab: Summer 2024
\nBiology (major), Computer Science (minor), Carnegie Mellon University<\/p>\n

\n

\"\"
\nTejal Nair<\/strong>
\nTraining Period in Lab: Summer 2024
\nMathematics and Computer Science, Cornell University<\/p>\n

\n

\"\"
\nLucas Sasaya<\/strong>
\nTraining Period in Lab: Summer 2024
\nComputer Science, Duke University<\/p>\n

\n

\"\"
\nAndrew Stein<\/strong>
\nTraining Period in Lab: Summer 2024
\nMathematics and Computer Science, Columbia University<\/p>\n

\n

\"\"
\nAlexandra Agris<\/strong>
\nTraining Period in Lab: Summer 2023
\nBioengineering (major), Computer Science (minor), Stanford University<\/p>\n

\n

\"\"
\nGaurvi Awasthi<\/strong>
\nTraining Period in Lab: Summer 2023
\nBiology and Society (major), Biometry and Statistics (minor), Cornell University<\/p>\n

\n

\"\"
\nRhea Desai<\/strong>
\nTraining Period in Lab: Summer 2023
\nBiomedical Engineering, Cornell University<\/p>\n

\n

\"\"
\nNooha Kawsar<\/strong>
\nTraining Period in Lab: Summer 2023
\nMolecular Biology, Princeton University<\/p>\n

\n

\"\"
\nAdam Lalani<\/strong>
\nTraining Period in Lab: Summer 2023
\nComputer Science and Biology, Brown University<\/p>\n

\n

\"\"
\nHannah Lee<\/strong>
\nTraining Period in Lab: Summer 2023
\nComputer Science (major), Computational Biology and Bioinformatics (minor), Duke University<\/p>\n

\n

\"\"
\nLauren Malek<\/strong>
\nTraining Period in Lab: Summer 2023
\nElectrical and Computer Engineering, Princeton University<\/p>\n

\n

\"\"
\nJacob Mayourian<\/strong>
\nTraining Period in Lab: Summer 2023
\nComputer Science (major), Data Science (minor), Cornell University<\/p>\n

\n

\"\"
\nOsaiyekemwen Ruth Ogbemudia<\/strong>
\nTraining Period in Lab: Summer 2023
\nBiomedical Engineering (major), Anthropology (minor), Cornell University<\/p>\n

\n

\"\"
\nShriya Rangaswamy<\/strong>
\nTraining Period in Lab: Summer 2023
\nBiological Engineering (major), Mathematics (minor), Massachusetts Institute of Technology<\/p>\n

\n

\"\"
\nAbigail Zaroff<\/strong>
\nTraining Period in Lab: Summer 2023
\nBioinformatics and Computational Biology, Duke University<\/p>\n

\n

\"\"
\nMason Zhang<\/strong>
\nTraining Period in Lab: Summer 2023
\nComputer Science (major), Philosophy (minor), Brown University<\/p>\n

\n

\"\"
\nClara Chen<\/strong>
\nTraining Period in Lab: Summer 2022
\nStatistics, Harvard University<\/p>\n

\n

\"\"
\nSophia Colmenares<\/strong>
\nTraining Period in Lab: Summer 2022
\nChemical and Biological Engineering, Princeton University<\/p>\n

\n

\"\"
\nEden Deng<\/strong>
\nTraining Period in Lab: Summer 2022
\nStatistics, Computer Science, Duke University<\/p>\n

\n

\"\"
\nLauren Druz<\/strong>
\nTraining Period in Lab: Summer 2022
\nBiology and Society, Cornell University<\/p>\n

\n

\"\"
\nReid Fleishman<\/strong>
\nTraining Period in Lab: Summer 2022
\nComputer Science, Cornell University<\/p>\n

\n

\"\"
\nSophie Goldman<\/strong>
\nTraining Period in Lab: Summer 2022
\nComputer Science and Information Science, University of Pennsylvania<\/p>\n

\n

\"\"
\nJason Han<\/strong>
\nTraining Period in Lab: Summer 2022
\nComputer Science, Rice University<\/p>\n

\n

\"\"
\nCole Heine<\/strong>
\nTraining Period in Lab: Summer 2022
\nBiochemistry and Molecular Biology, Brown University<\/p>\n

\n

\"\"
\nDavid Lewis<\/strong>
\nTraining Period in Lab: Summer 2022
\nComputation and Cognition, Massachusetts Institute of Technology<\/p>\n

\n

\"\"
\nNhi Nguyen<\/strong>
\nTraining Period in Lab: Summer 2022
\nNeuroscience, Dartmouth College<\/p>\n

\n

\"\"
\nHannah Qu<\/strong>
\nTraining Period in Lab: Summer 2022
\nBiomedical Engineering, Johns Hopkins University<\/p>\n

\n

\"\"
\nDerek Wang<\/strong>
\nTraining Period in Lab: Summer 2022
\nBiological Sciences, Computer Science, Carnegie Mellon University<\/p>\n

\n

\"\"
\nEric Che<\/strong>
\nTraining Period in Lab: Summer 2021
\nComputer Science and Pre-Med, Columbia University<\/p>\n

\n

\"\"
\nKerwin Chen<\/strong>
\nTraining Period in Lab: Summer 2021
\nBiometry and Statistics, Cornell University<\/p>\n

\n

\"\"
\nSarah Fida<\/strong>
\nTraining Period in Lab: Summer 2021
\nComputer Science and Biology, Williams College<\/p>\n

\n

\"\"
\nSophie Guo<\/strong>
\nTraining Period in Lab: Summer 2021
\nBiological Engineering and Computer Science, Massachusetts Institute of Technology<\/p>\n

\n

\"\"
\nAngelina Huang<\/strong>
\nTraining Period in Lab: Summer 2021
\nBiomedical Engineering and Information Science, Cornell University<\/p>\n

\n

\"\"
\nMarilyn Meyers<\/strong>
\nTraining Period in Lab: Summer 2021
\nElectrical Engineering and Computer Science, Massachusetts Institute of Technology<\/p>\n

\n

\"\"
\nGabrielle Pile<\/strong>
\nTraining Period in Lab: Summer 2021
\nComputer Science, Brandeis University<\/p>\n

\n

\"\"
\nHelen Propson<\/strong>
\nTraining Period in Lab: Summer 2021
\nComputer Science and Engineering, Massachusetts Institute of Technology<\/p>\n

\n

\"\"
\nEmily Slobodenyuk<\/strong>
\nTraining Period in Lab: Summer 2021
\nBiological Sciences and Computer Science, Carnegie Mellon University<\/p>\n

\n

\"\"
\nHunter Smith<\/strong>
\nTraining Period in Lab: Summer 2021
\nComputer Science, University of Chicago<\/p>\n

\n

\"\"
\nAlexander Tsai<\/strong>
\nTraining Period in Lab: Summer 2021
\nMolecular Biology, Statistics and Machine Learning, Princeton University<\/p>\n

\n

\"\"
\nSophia Vincoff<\/strong>
\nTraining Period in Lab: Summer 2021
\nBiomedical Engineering and Computer Science, Duke University<\/p>\n

\n

\"\"
\nCindy Xiong<\/strong>
\nTraining Period in Lab: Summer 2021
\nMathematical Sciences, Carnegie Mellon University<\/p>\n

\n

\"\"
\nTahmid Ahamed<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, University of Pennsylvania
\nProject: Tracing Single Human and Mouse Gene Expression with Age<\/p>\n

\n

\"\"
\nSamantha Bhuiyan<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Barnard College, Columbia University
\nProject: Functional Predictions for Undiagnosed Disease Network (UDN) Genes<\/p>\n

\n

\"\"
\nJessie Cheng<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Carnegie Mellon University
\nProject: Analysis and Visualization of SARS-CoV-2 Gene Expression Signatures<\/a><\/p>\n

\n

\"\"
\nCharles Dai<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Cornell University
\nProject: Appyters to Extract, Transform, and Load (ETL) Data for the Harmonizome<\/a><\/p>\n

\n

\"\"
\nLucas Goldman<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Vanderbilt University
\nProject: L1000KD2: Analysis and Visualization of the LINCS L1000 shRNA Gene Knock-Down Dataset<\/a><\/p>\n

\n

\"\"
\nJason Hom<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, University of Pennsylvania
\nProject: Gene Set Comparison Appyter<\/a><\/p>\n

\n

\"\"
\nJulie Karam<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Brown University
\nProject: GeneBot and DrugBot – Slack Applications to Discover Knowledge about Genes and Drugs<\/a><\/p>\n

\n

\"\"
\nSkylar Litz<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Harvey Mudd College
\nProject: Enrichr Visualization Appyters<\/a><\/p>\n

\n

\"\"
\nNicole Moiseyev<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Duke University
\nProject: An Appyter for the Visualization and Characterization of Cancer Patient Clusters based on RNA-Seq Profiles<\/a><\/p>\n

\n

\"\"
\nDaniel Stein<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate,\u00a0Massachusetts Institute of Technology
\nProject: Drugmonizome-ML: An Appyter for Predicting Drug Indications<\/a><\/p>\n

\n

\"\"
\nChristine Yoon<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, Duke University
\nProject: RNA-seq Co-Expression for Functional Prediction of Non-Coding Genes<\/a><\/p>\n

\n

\"\"
\nSerena Zhang<\/strong>
\nTraining Period in Lab: Summer 2020
\nUndergraduate, University of Pennsylvania
\nProject: The KINOMEscan and KEA3 Appyters<\/a><\/p>\n

\n

\"\"
\nZaire Bryant<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Rutgers University
\nProject: Global Analysis of Gene Sets and Signatures Associated with Senescence<\/a><\/p>\n

\n

\"\"
\nElizabeth Jung<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Cornell University
\nProject: FAIRification of NIH Common Fund Programs’ Datasets<\/a><\/p>\n

\n

\"\"
\nAlessandra LaRocco<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Yale University
\nProject: Predicting Novel Targets and Drugs to Induce Autophagy<\/a><\/p>\n

\n

\"\"
\nDamon Pham<\/strong>
\nTraining Period in Lab: Summer 2017, Fall 2017, Summer 2019
\nUndergraduate, Indiana University Bloomington
\nProjects: Gencodr – Gene Set Enrichment Analysis with Deep Learning<\/a> and Developing Novel Gene Set Enrichment Analysis Algorithms<\/a><\/p>\n

\n

\"\"
\nSamuel Maltz<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, The Cooper Union
\nProject: Gene Expression Imputations with the Latent Space of RNA-seq Data from ARCHS4<\/a><\/p>\n

\n

\"\"
\nKaeli Rizzo<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Georgia Institute of Technology
\nProject: Predicting the Function and Disease Associations of Under-Studied GPCRs, Ion Channels, and Protein Kinases<\/a><\/p>\n

\n

\"\"
\nAllison Seiden<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Johns Hopkins University
\nProject: Analysis of Gene Sets Extracted from a GWAS of the UK Biobank<\/a><\/p>\n

\n

\"\"
\nIngrid Shu<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Amherst College
\nProject: KEA3: Kinase Enrichment Analysis Version 3<\/a><\/p>\n

\n

\"\"
\nDavid Szanto<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Harvard University
\nProject: PALM2A – Mobile and Web App for Predicting Physiological Age from Lab Tests and Vital Signs<\/a><\/p>\n

\n

\"\"
\nJustin Williams<\/strong>
\nTraining Period in Lab: Summer 2019
\nUndergraduate, Cornell University
\nProjects: Drug Repurposing Strategies for Alzheimer’s Disease<\/a>
\nand PeerShake – A System to Transform the Scientific Review Process<\/a><\/p>\n

\n

\"\"
\nKatherine Chew<\/strong>
\nTraining Period in Lab: Summer 2018
\nUndergraduate, Massachusetts Institute of Technology
\nProject: Predicting Gene Signatures for Understudied Small Molecules<\/a><\/p>\n

\n

\"\"
\nZachary Flamholz<\/strong>
\nTraining Period in Lab: Summer 2018
\nUndergraduate, Princeton University
\nProject: modEnrichr: Gene List Enrichment Analysis Tools for Fish, Fly, Worm, and Yeast<\/a>
\nCurrent Position: MD\/PhD Student, Albert Einstein College of Medicine<\/p>\n

\n

\"\"
\nHannah Freid<\/strong>
\nTraining Period in Lab: Summer 2018
\nUndergraduate, Princeton University
\nProject: Integrative Analysis to Suggest Combination Therapies for Ovarian Cancer<\/a>
\nCurrent Position: Medical Student, Icahn School of Medicine at Mount Sinai<\/p>\n

\n

\"\"
\nKevin Moses<\/strong>
\nTraining Period in Lab: Summer 2018
\nUndergraduate, Yale University
\nProject: JOIN: The Journal of Interactive Notebooks<\/a><\/p>\n

\n

\"\"
\nVivek Sriram<\/strong>
\nTraining Period in Lab: Summer 2018
\nUndergraduate, Duke University
\nProject: Predicting Diabetes Risk from Labs and Vitals with Machine Learning<\/a>
\nCurrent Position: PhD Student, Genomics and Computational Biology, University of Pennsylvania Perelman School of Medicine<\/p>\n

\n

\"\"
\nVivian Utti<\/strong>
\nTraining Period in Lab: Summer 2018
\nUndergraduate, Cornell University
\nProject: ChEA3: Transcription Factor Enrichment Analysis<\/a>
\nCurrent Position: Medical Student, Icahn School of Medicine at Mount Sinai<\/p>\n

\n

\"\"
\nLily Wang<\/strong>
\nTraining Period in Lab: Summer 2017, Fall 2018, Summer 2018
\nUndergraduate, Cornell University
\nProjects: FAIRshake: Digital Objects Evaluation System<\/a> and FAIRshake: Toolkit to Assess the FAIRness of Biomedical Digital Objects<\/a>
\nCurrent Position: PhD Student, Bioinformatics and Integrative Genomics, Harvard University<\/p>\n

\n

\"\"
\nSherry Xie<\/strong>
\nTraining Period in Lab: Summer 2018
\nUndergraduate, Cornell University
\nProject: Standard API to Enable Semantic Integration of the Tools Developed by the Ma\u2019ayan Lab<\/a>
\nCurrent Position: Bioinformatician, Ma’ayan Laboratory, Icahn School of Medicine at Mount Sinai<\/p>\n

\n

\"\"
\nPatrycja Krawczuk<\/strong>
\nTraining Period in Lab: Summer 2017
\nUndergraduate, Hunter College
\nProject: Automated Indexing of Bioinformatics Tools<\/a><\/p>\n

\n

\"\"
\nMarina Latif<\/strong>
\nTraining Period in Lab: Summer 2017
\nUndergraduate, Princeton University
\nProject: Mining the Human Kinome<\/p>\n

\n

\"\"
\nJoyce (Hyojin) Lee<\/strong>
\nTraining Period in Lab: Summer 2017
\nUndergraduate, Princeton University
\nProject: Predicting Gene Function and PPIs with Co-Expression Data<\/a><\/p>\n

\n

\"\"
\nAriel Leong<\/strong>
\nTraining Period in Lab: Summer 2017
\nUndergraduate, Stanford University
\nProject: ChEA3 – Improving Transcription Factor Enrichment Analysis by Data Integration<\/a><\/p>\n

\n

\"\"
\nChristopher Tseng<\/strong>
\nTraining Period in Lab: Summer 2017
\nUndergraduate, Emory University
\nProject: Analysis and Visualization of MCF10A Data for the LINCS Common Project<\/a>
\nCurrent Position: Medical Student, Rutgers New Jersey Medical School<\/p>\n

\n

\"\"
\nCharlotte Zuber<\/strong>
\nTraining Period in Lab: Summer 2017
\nUndergraduate, Rutgers University
\nProject: Visualization of the Space of 200,000 Annotated Gene Sets<\/p>\n

\n

\"esther_chen.fw\"
\nEsther Chen<\/strong>
\nTraining Period in Lab: Summer 2016
\nUndergraduate, Cornell University
\nProject: Cite-D-Lite: Chrome Extension for Data and Paper Citations with Text Importance Highlighting<\/a>
\nCurrent Position: Medical Student, SUNY Downstate Medical Center College of Medicine<\/p>\n

\n


\nAxel Feldmann<\/strong>
\nTraining Period in Lab: Summer 2016
\nUndergraduate, Carnegie Mellon University
\nProject: X2K-Web: an Updated Web-based Version of the Expression2Kinases Pipeline<\/a>
\nCurrent Position: PhD Student, Massachusetts Institute of Technology<\/p>\n

\n

\"\"
\nDaniel Clarke<\/strong>
\nTraining Period in Lab: Summer 2016
\nUndergraduate, Fairleigh Dickinson University
\nProjects:\u00a0Adhesome 2016: An Updated Adhesome Site with Predictions of New Member Components<\/a>\u00a0and\u00a0Genes2WordCloud: A Biology Oriented Interactive Word Cloud Generator<\/a>
\nCurrent Position: Data Science Analyst II, Ma’ayan Laboratory, Icahn School of Medicine at Mount Sinai<\/p>\n

\n

\"katie_lin.fw\"
\nKatie Lin, BS, MS<\/strong>
\nTraining Period in Lab: Summer 2016
\nUndergraduate, Columbia University
\nProject: Visualization of the Multi-Layered Data from the LINCS MCF10A Dense Cube Project<\/a><\/p>\n

\n

\"malyack.fw\"
\nColette Malyack, BS, MS<\/strong>
\nTraining Period in Lab: Summer 2016
\nUndergraduate, Fairleigh Dickinson University
\nProject: Predicting Experimental Platforms by Examining Gene-Set Content<\/a><\/p>\n

\n

\"sani.fw\"
\nKevin Sani<\/strong>
\nTraining Period in Lab: Summer 2016
\nUndergraduate, Harvard University
\nProject: Dr. Gene Budger: Web App to Predict Drugs to Modulate the Expression of a Specific Gene<\/a><\/p>\n

\n

\"b_kaplan.fw\"
\nBenjamin Kaplan<\/strong>
\nTraining Period in Lab: Summer 2015
\nUndergraduate, Carnegie Mellon University
\nProject:\u00a0Integrative Analysis and Visualization of Gene Expression Signatures toward the Repurposing of FDA Approved Drugs as Antiviral Medications<\/p>\n

\n

\"emily_k.fw\"
\nEmily Kuang<\/strong>
\nTraining Period in Lab: Summer 2015
\nUndergraduate, New York City College of Technology
\nProject:\u00a0Assessing the Dimensionality of MCF7 Cells Response to Perturbations<\/p>\n

\n

\"azu_lee.fw\"
\nAzu Lee, MS<\/strong>
\nTraining Period in Lab: Summer 2015
\nUndergraduate, University of Washington
\nProject:\u00a0Interactive Mobile App Game for Deconvolution of Gene Set Modules from Gene Set Enrichment Analyses<\/p>\n

\n

\"aditi.fw\"
\nAditi Dandapani, PhD<\/strong>
\nTraining Period in Lab: 2009-2010
\nProject:\u00a0Dynamical Model of Viral DI Particles<\/p>\n

\n

\"komosinski.fw\"
\nMichael Komosinski, BS<\/strong>
\nTraining Period in Lab: Summer 2011
\nUndergraduate, Colgate University
\nProject:\u00a0Integrating, Predicting, and Visualizing Mammalian Protein-Protein Interaction Networks<\/p>\n

\n

\"john_z.fw\"
\nJohn Zhuang, BS<\/strong>
\nTraining Period in Lab: 2010
\nUndergraduate, Columbia University
\nProject:\u00a0Regulatory Network Created from Loss of Function and Gain of Function Studies of Mouse Embryonic Stem Cells<\/p>\n

\n

\"mariola_s.fw\"
\nMariola Szenk, PhD<\/strong>
\nTraining Period in Lab: 2009
\nUndergraduate, Hunter College
\nProject:\u00a0PathwayGenerator2: Automated Visualization of Signaling Pathways using Flash and ActionScript 3<\/p>\n

\n

Visiting High School Students<\/h3>\n

\"\"
\nInko Bovenzi<\/strong>
\nTraining Period in Lab: Summer 2019
\nHunter College High School
\nProject: Crossing Gene Sets Across Libraries to Discover Novel Pathways<\/p>\n

\n

\"\"
\nDerek Wang<\/strong>
\nTraining Period in Lab: Summer 2018
\nEast Brunswick High School
\nProject: GTEx2BioJupies: Jupyter Notebook Analysis Reports from Interactive Selection of GTEx Portal Samples<\/a>
\nCurrent Position: Undergraduate, Carnegie Mellon University<\/p>\n

\n

\"lin.fw\"
\nJennifer Lin<\/strong>
\nTraining Period in Lab: Summer 2016
\nOceanside High School
\nProject: Predicting Potential Drugs for Diabetic Nephropathy using L1000 Data<\/p>\n

\n

\"mounica.fw\"
\nMounica Kamesam<\/strong>
\nTraining Period in Lab: Summer 2014 and 2015
\nYorktown High School
\nProject:\u00a0Automated Data Integration and Data Mining to Improve Breast Cancer Classification<\/p>\n

\n

\"axel.fw\"
\nAxel Feldmann<\/strong>
\nTraining Period in Lab: Summer 2014 and 2016
\nHunter College High School
\nProject:\u00a0Hepatocellular Carcinoma Patient Classification with Enrichment Vectors
\nCurrent Position: PhD Student, Massachusetts Institute of Technology<\/p>\n

\n

\"jay.fw\"
\nJayanath Krishnan<\/strong>
\nTraining Period in Lab: Summer 2010
\nMahopac High School
\nProject:\u00a0Regulatory Signatures of Cancer Cell Lines Inferred from Expression Data<\/p>\n","protected":false},"excerpt":{"rendered":"

Several of our former summer research program trainees in the Ma’ayan Lab have entered PhD, MD\/PhD and MD programs at Icahn School of Medicine at Mount Sinai, Princeton, MIT, Columbia, Duke, Cornell, Yale, Harvard, Stanford, and University of Pennsylvania. Former Summer Undergraduate Research Trainees Bilal Ali Training Period in Lab: Summer 2024 Computer Science and […]<\/p>\n","protected":false},"author":51,"featured_media":0,"parent":419,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2823","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/pages\/2823","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/users\/51"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/comments?post=2823"}],"version-history":[{"count":7,"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/pages\/2823\/revisions"}],"predecessor-version":[{"id":2835,"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/pages\/2823\/revisions\/2835"}],"up":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/pages\/419"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/maayanlab\/wp-json\/wp\/v2\/media?parent=2823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}