Michael S. Chimenti, Ph.D.
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Michael S. Chimenti, Ph.D. Email & Phone Number

Machine Learning and Bioinformatics Consultant at FBB Biomed
Location: Iowa City-Cedar Rapids Area, United States 6 work roles 2 schools
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Role
Machine Learning and Bioinformatics Consultant
Location
Iowa City-Cedar Rapids Area, United States

Who is Michael S. Chimenti, Ph.D.? Overview

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Michael S. Chimenti, Ph.D. is listed as Machine Learning and Bioinformatics Consultant at FBB Biomed, based in Iowa City-Cedar Rapids Area, United States. AeroLeads shows a matched LinkedIn profile for Michael S. Chimenti, Ph.D..

Michael S. Chimenti, Ph.D. previously worked as Machine Learning & Bioinformatics Consultant at Fbb Biomed and Director of Bioinformatics; Iowa Institute of Human Genetics at University Of Iowa Health Care. Michael S. Chimenti, Ph.D. holds Ph.D., Biophysics from The Johns Hopkins University.

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FBB Biomed

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About Michael S. Chimenti, Ph.D.

I am a research scientist and bioinformatician; I am passionate about applying the ever-evolving methods of bioinformatics to research problems in the health sciences. I have a broad training background, including biophysical lab experience, that I can draw from to collaborate effectively with researchers from varied backgrounds. I have been fortunate to train with some of the thought-leaders in their fields, including Matt Jacobson at UCSF and Bertrand Garcia-Moreno at Hopkins. Here is something nice my former advisor at UCSF said about me: "Michael has a number of key strengths that will make him an asset to team-based research in a pharmaceutical or biotechnology environment. [...] he has excellent and unusually broad training in biophysical and biochemical methods. [...] Michael has been responsible for several key advances, working closely with chemists and screening experts." --Matt Jacobson, Professor and Vice Chair, Department of Pharmaceutical Chemistry, UCSF

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FBB Biomed
Fbb Biomed
Machine Learning and Bioinformatics Consultant
Website
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6 roles

Michael S. Chimenti, Ph.D. work experience

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Machine Learning And Bioinformatics Consultant

Cedar Rapids, Ia, Us

Machine Learning & Bioinformatics Consultant

Iowa City, Iowa, United States

Helping the FBB team to develop an RNA-based liquid biopsy diagnostic for neurological disease and cancer. We aim to provide the first non-invasive and inexpensive alternative to an invasive lumbar puncture for (suspected) neurological disease patients. I am leveraging AWS cloud to build back-end infrastructure with S3, AWS Healthomics, Eventbridge, Cloudwatch, SageMaker, etc... I am also performing predictive modeling of RNA NGS data using tools like sPLS-DA and XG-boost.

Director Of Bioinformatics; Iowa Institute Of Human Genetics

Iowa City, Iowa Area

I lead a team of four bioinformaticians and a full-time system administrator in the Bioinformatics Core facility of the IIHG. I assist investigators by helping to find solutions to their bioinformatics challenges. I keep current on novel and emerging technologies and methods in genomics and bioinformatics, and work to develop those techniques and skills to support investigator research at the University of Iowa. I act as a liaison to the College of Medicine and University of Iowa research community for education and outreach about computational biology.

Bioinformatics Specialist; Iowa Institute Of Human Genetics

Iowa City, Iowa

I performed applied bioinformatics and computational biology within the Iowa Institute of Human Genetics (IIHG). Kinds of projects I worked on: Metagenomics studies of microbial populations Transcriptomics and gene expression studies Pharmacogenomics (PGX) panels for our CAP-certified clinical laboratoryCreating and developing bioinformatics training materials, including tutorial videos and lectures Recent projects I've worked on include: Metagenomic 16S amplicon and whole-genome shotgun (WGS) studies of the Upper Mississippi River sediment beds containing mussels. This work, which resulted in three manuscripts, made important contributions to the understanding of N-cycling and nitrification processes in the mussel bed. Collaboration with Craig Just and Ellen Black, Univ. of Iowa College of Engineering. Investigating the genetic basis for Vestibular Schwannomas (VS), a form of head/neck cancer. I contributed by running exome and whole-genome analysis pipelines to generate lists of potential somatic mutations. I calculated somatic mutational "signatures" from the data and showed relative abundances of the signatures within the tumors. I performed data analysis of genetic mutations in early- and late-stage tumors and showed genes in common, as well as differences. Expanding our pharmacogenomics panel with new genes for PGx screening. This involved researching and cataloging each gene's star alleles of interest and their constituent variants. I helped in validating that the pipeline could correctly detect the star alleles of interest with relevant PGx information. We also maintain this pipeline to CAP/CLIA standards of reporting and validation.

Jul 2015 - Jul 2019

Postdoctoral Research Scientist | Computational Chemistry

San Francisco

Computational and biophysical drug screening and development to discover novel small molecule inhibitors of a challenging target, p97 ATPase, for the treatment of Multiple Myeloma and other cancers. National Cancer Institute-funded collaboration with the UCSF Small Molecule Discovery Center.Virtual ligand screening to aid organic chemistry development routesI made correct computation predictions about the binding site and mode of our best ligands, providing critical guidance for ligand development My predictions were verified by cryo-EM structures that were subsequently published in Nature journals. I also used advanced structural NMR and labeling techniques to assess binding site configurations experimentallyAdvisors: Matt Jacobson, Mark Kelly, Michelle Arkin

Aug 2011 - May 2015

Postdoctoral Research Fellow

San Francisco Bay Area

Collaborative study of pH sensing proteins in cytoskeleton dynamics and cell cycle checkpoint regulation. Biophysical and computational study of EB1 +TIP tracking protein interactions with human CLASP2.

Aug 2009 - Aug 2011
2 education records

Michael S. Chimenti, Ph.D. education

Ph.D., Biophysics

Contributed novel large-scale biophysical datasets using structural NMR spectroscopy to aid the benchmarking and improvement.

Bachelor Of Science (B.S.) W/ Honors, Biochemistry

Activities and Societies: Honors Society; Jazz Band

FAQ

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What company does Michael S. Chimenti, Ph.D. work for?

Michael S. Chimenti, Ph.D. works for FBB Biomed.

What is Michael S. Chimenti, Ph.D.'s role at FBB Biomed?

Michael S. Chimenti, Ph.D. is listed as Machine Learning and Bioinformatics Consultant at FBB Biomed.

Where is Michael S. Chimenti, Ph.D. based?

Michael S. Chimenti, Ph.D. is based in Iowa City-Cedar Rapids Area, United States while working with FBB Biomed.

What companies has Michael S. Chimenti, Ph.D. worked for?

Michael S. Chimenti, Ph.D. has worked for Fbb Biomed, University Of Iowa Health Care, The University Of Iowa Health Care, Ucsf, and University Of California, San Francisco.

How can I contact Michael S. Chimenti, Ph.D.?

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What schools did Michael S. Chimenti, Ph.D. attend?

Michael S. Chimenti, Ph.D. holds Ph.D., Biophysics from The Johns Hopkins University.

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