Principal Computational Biologist
CurrentLeading computational efforts for the development of personalized neoantigen-based cancer vaccine
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Jayon Lihm is listed as Principal Computational Biologist at Memorial Sloan Kettering Cancer Center at Memorial Sloan Kettering Cancer Center, a with 15120 employees, based in United States. AeroLeads shows a matched LinkedIn profile for Jayon Lihm.
Jayon Lihm previously worked as Principal Computational Biologist at Memorial Sloan Kettering Cancer Center and Senior Computational Biologist II at Memorial Sloan Kettering Cancer Center. Jayon Lihm holds Doctor Of Philosophy (Ph.D.), Statistics from State University Of New York At Stony Brook.
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Scientist in bioinformatics and computational biology with over 13 years of experience in the field (9+ years of post-PhD). Some bullet points:- Extensive experience in bioinformatics, cancer genetics, immuno-oncology, and sequencing data analysis, covering a wide spectrum of applications.- Demonstrated ability in leading and contributing to research initiatives through multidisciplinary collaborations, including clinical trials (e.g., mRNA cancer vaccine) and large-scale genomic consortia (e.g., 1000 genomes)- In-depth understanding of various sequencing data types: WGS, WES, ATAC-seq, RNA-seq, ONT long-read sequencing- Proficient programming skills in R, Python, SAS, Matlab, and bash scripting, as well as cluster computing using SGE/LSF/Slurm.- Strong background in mentoring, training, and teaching junior staffs and PhD students
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Leading computational efforts for the development of personalized neoantigen-based cancer vaccine
New York City Metropolitan Area
Greenbaum's lab (Computational Oncology, Department of Epidemiology and Biostatistics)Long story short: Focused on identifying immunogenic neoantigens in various types of tumors== On going ==- Immunogenicity of frameshift peptides in MSI-high endometrial cancer patients- Tumor-rejection neoantigen prediction in mouse models (Kras/p53 mutant lung cancer)- Co-evolution of tumor and host's immune landscape from rapid autopsy samples- Toxicity study for Ipilimumab + Nivolumab in renal cell carcinoma patients- Neoadjuvant therapy clinical trial in muscle invasive bladder cancer- Evolution of somatic mutations in immune-deficient and competent mice== Wrapped up ==- Oxford nanopore long reads pipeline construction- PDAC mRNA personalized neoantigen vaccine clinical trial: computational lead (published)- PDAC long term and short term survivors (published)- Neoantigen profiles in lung cancer patients with acquired resistance to immunotherapy (published)- Impact of chemotherapy on neoantigen landscape of PDAC primary tumors==List of clinical trials==PDAC vaccine, muscle-invasive bladder cancer neoadjuvant therapy, MSI-high endometrial cancer patients for ICB
Lecture in Department of Information System and Business Analytics @ Zarb Business School- R programming (BAN266)- Advanced Quantitative Analysis for Managers (BAN203)- Introduction to Business Statistics (BAN001)
Greenbaum's lab @ Tisch Cancer Institute- PDAC neoantigen profile changes between pre and post chemotherapy- Hypermutation in pancreatic cancer
- Modeled the risk of inherited genetic variants on psychiatric disorders with WGS (**Publication: Ryan and Lihm et al, 2018, https://www.nature.com/articles/s41380-018-0087-4)- Profiled the epigenetic changes in mouse brain regions after fear-conditioning using ATAC-seq (https://github.com/jlihm-seq/atac-seq, ** Oral presentation: Genome Informatics meeting, 2017)- Developed a SNP detection algorithm in highly repeated regions in human genome (https://github.com/jlihm-seq/CPC)- Completed ”Bioinformatics for Cancer Genomics course” at Cold Spring Harbor Laboratory (2018)- Characterized genetic landscape of breast cancer organoids from clinical samples using 10X sequencing platform
Cold Spring Harbor, Ny
- Developed a data-driven SNP calling algorithm using mixture models (PhD Thesis available at https://ir.stonybrook.edu/xmlui/handle/11401/76128)- Profiled exome CNV regions of more than 1000 quads in Simons Simplex Collection for autism- Constructed data processing pipeline to process raw sequence data (fastq files) to BAM, pileup files, read-depth count files for variant calling and analysis. Pipeline includes the usage of common bioinformatics tools such as BWA, PICARD, GATK, SAMTOOLS.- Data generation to detect copy number variation (CNV) regions for whole exome sequencing data of autism quad families (Simons Simplex Collectiom for autism)- Quality control analysis for family sequencing data
Stony Brook, Ny
Lectured AMS315 Data Analysis class in Department of Applied Mathematics and Statistics
Manhattan, Ny
- Detected common deletion and duplication regions using read-depth approach as part of Structural Variation group in the 1000 genomes project, Phase 1 (publication: The 1000 genomes project consortium, 2012)- Prioritized and selected SNP sites for validation from whole exome collection in ARRA autism study (publication: Neale et al, 2012)- Performance analysis for annotation tool development: AnnTools (publication: Makarov et al, 2012)
Stony Brook, Ny
AMS510 Analytical Methods for Applied Mathematics and Statistics (Fall, 2009)AMS110 Probability & Statistics for the Life Sciences (Spring, 2010)AMS571 Mathematical Statistics (Fall, 2010)
Discrete Mathematics and Programming, Numerical Analysis, Differential Equations, Calculus I,Mathematical Science and Information
Seoul, South Korea
- Credit risk management- Developed Behavior Scoringcard system for Samsung Life Insurance; collaboration with Fair Isaac, CA.- Proposal documentation for multiple types of credit scoring system development- Coordinated 'Credit Fair 2008', October, 2008 in Seoul, S. Korea.
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Alla Kosovoy
Colleague at Memorial Sloan Kettering Cancer CenterBrooklyn, New York, United States
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Dianna Lindgren
Colleague at Memorial Sloan Kettering Cancer CenterJersey City, New Jersey, United States
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Wilma S.
Colleague at Memorial Sloan Kettering Cancer CenterUnited States
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Kimberly Rama
Colleague at Memorial Sloan Kettering Cancer CenterCarmel, New York, United States
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Diane Llerandi
Colleague at Memorial Sloan Kettering Cancer CenterNew York, United States
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John Meyer
Colleague at Memorial Sloan Kettering Cancer CenterNew York City Metropolitan Area, United States
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Cynthia Castro
Colleague at Memorial Sloan Kettering Cancer CenterBronx, New York, United States
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Ruth Fassil
Colleague at Memorial Sloan Kettering Cancer CenterFalls Church, Virginia, United States
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Chirly Denton
Colleague at Memorial Sloan Kettering Cancer CenterNew York City Metropolitan Area, United States
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Jodecy Colon
Colleague at Memorial Sloan Kettering Cancer CenterBrooklyn, New York, United States
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Activities and Societies: ESAOS (Ewha Symphonious Amateur Orchestral Sounds)
Quick answers generated from the profile data available on this page.
Jayon Lihm works for Memorial Sloan Kettering Cancer Center.
Jayon Lihm is listed as Principal Computational Biologist at Memorial Sloan Kettering Cancer Center at Memorial Sloan Kettering Cancer Center.
Jayon Lihm is based in United States while working with Memorial Sloan Kettering Cancer Center.
Jayon Lihm has worked for Memorial Sloan Kettering Cancer Center, Hofstra University, Icahn School Of Medicine At Mount Sinai, Cold Spring Harbor Laboratory, and Stony Brook University.
Jayon Lihm's colleagues at Memorial Sloan Kettering Cancer Center include Alla Kosovoy, Dianna Lindgren, Wilma S., Kimberly Rama, and Diane Llerandi.
You can use AeroLeads to view verified contact signals for Jayon Lihm at Memorial Sloan Kettering Cancer Center, including work email, phone, and LinkedIn data when available.
Jayon Lihm holds Doctor Of Philosophy (Ph.D.), Statistics from State University Of New York At Stony Brook.
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