Michael Sierk

Michael Sierk Email and Phone Number

Experienced Bioinformatics Scientist | Data Analysis and Visualization | Machine Learning | Sports Fanatic @ Essential Software Inc
Michael Sierk's Location
Greater Pittsburgh Region, United States, United States
Michael Sierk's Contact Details
About Michael Sierk

I love analyzing data to gain insight into biology. Leveraging the immensely powerful bio- and computational technologies available today requires both a deep understanding of biology and insight into the strengths and weaknesses of computational methods. I have both.* I am a solutions-oriented bioinformatics scientist with a strong combination of cancer biology knowledge and broad computational expertise in NGS analysis, protein sequence and structure analysis, proteomics, and pathway analysis resulting in 14 manuscripts with 800 total citations. * I have excellent ability to thrive in cross-functional teams providing project management, data analysis and visualization, and fluent translation between biological and computational perspectives. * I'm an easy-going but persistent individual equally adept at viewing the big picture and diving into the details with excellent ability to communicate horizontally and vertically with colleagues of diverse personal and technical backgrounds.I'm a big Steelers and Pitt Panthers fan and I love pro and college football, basketball, and soccer. I played soccer and basketball and coached youth teams in basketball, soccer, and baseball. My newest sports passion is golf!

Michael Sierk's Current Company Details
Essential Software Inc

Essential Software Inc

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Experienced Bioinformatics Scientist | Data Analysis and Visualization | Machine Learning | Sports Fanatic
Michael Sierk Work Experience Details
  • Essential Software Inc
    Senior Bioinformatician
    Essential Software Inc Feb 2022 - Present
    Gaithersburg, Maryland, Us
    * Apply structural biology knowledge to generate and assess Alphafold models of complexes of a transcription complex protein with various binding partners.* Develop a production-level WES variant calling pipeline using Nextflow for a longitudinal study of patients with germline mutations in a myeloid progenitor transcription factor, including a Shiny app for display of results.* Demonstrate collaborative teamwork by working with a diverse group of colleagues applying machine learning approaches in R to proteomic and clinical data from glioblastoma patients to identify pathway signatures resulting in a manuscript published in Frontiers in Oncology. * Project management skills and ability to innovate illustrated by development of a Python program to efficiently screen mutations in 3D resulting in a publication in BMC Bioinformatics.
  • The Bioinformatics Cro
    Bionformatics Consultant
    The Bioinformatics Cro Dec 2021 - Present
    Orlando, Florida, Us
    Assisted clients with tasks such as improving a variant-calling pipeline and classifying colon-cancer samples based on RNAseq data.
  • Nephros
    Bioinformatics Consultant
    Nephros Dec 2019 - Aug 2022
    South Orange, New Jersey, Us
    Developed an R Shiny app (https://msierk.shinyapps.io/sequapath) for counting Nanopore MinION reads from different microbial populations and displaying the results. (Github: https://github.com/msierk/SequaPath) Developing a pipeline for combining results from existing methods (minimap2, NanoCLUST) to classify 16S RNA reads at the genus and species level. Provide bioinformatics analysis of primers and probes for RT-PCR-based detection of microbial pathogens.
  • Saint Vincent College
    Assistant Professor
    Saint Vincent College 2005 - 2021
    Latrobe, Pa, Us
    Collaborated with Shaun Mahony from Penn State and Esteban Mazzoni from NYU on a project evaluating transcription factor roles in promoting the development of neuronal subtypes in mouse neurons. I analyzed RNASeq data and CHiPseq data generated in the Mazzoni lab. This work was published in Frontiers in Neuroscience. (Aydin et al. 2022)Directed an undergraduate bioinformatics program, where I supervised students in their undergraduate research thesis activities, developed curricula, taught a variety of courses, and performed academic advising. I was also active in the Network for the Integration of Bioinformatics into Life Sciences Education (NIBLSE, www.niblse.org), an NSF-funded program. My colleagues and I constructed the first set of bioinformatics core competencies for undergraduate life science majors (Sayres et al., 2018). I have also been instrumental in implementing a new approach for developing teaching resources and training faculty (https://qubeshub.org/community/groups/niblse/resourcecollection/incubator).A selection of my key accomplishments includes: ⇨ Supervised over 25 diverse student-driven senior research projects including proposal, research, thesis, and poster presentation.⇨ NIBLSE Steering Committee and Resources Review Committee, an NSF-funded research coordination network, collaborating with diverse faculty across the country.⇨ Created a novel course in Biomedical Informatics where students analyze clinical trial data and utilize immunology, data mining and analysis, and databases. ⇨ Developed six new courses for department curriculum⇨ Authored or co-authored 5 manuscripts (180+ citations)⇨ Served as academic advisor to 100+ students; served on various committees; active member of the Chemistry and Interdisciplinary Science departments.⇨ Created and hosted the first Undergraduate Bioinformatics Education Conference six times.
  • University Of Virginia
    Postdoctoral Research Associate
    University Of Virginia 2001 - 2005
    Charlottesville, Va, Us
    While in the Pearson laboratory I led a research program focused on testing estimates of statistical significance produced by various protein structure comparison programs. My achievements include: ⇨ Analyzed ability of protein structure comparison algorithms to accurately predict whether two proteins are homologous; published work that has been cited more than 150 times.⇨ Screened numerous sequence and structure alignment programs for the ability to accurately detect homologous proteins (100+ citations).⇨ Wrote a review article on protein structure alignment algorithms (60+ citations).⇨ Served as an inaugural member on the International Society for Computational Biology’s Student/Postdoc Council
  • University Of Virginia
    Graduate Research Fellow
    University Of Virginia 1995 - 2001
    Charlottesville, Va, Us
    I utilized crystallographic analysis methods in Rastinejad laboratory to identify the sequence-specificity of DNA response elements for Rev-Erb and RXR nuclear receptors. This work resulted in published articles that have been cited more than 200 times collectively. I also served as the President of the Graduate Biosciences Society, a student-run organization responsible for hosting an outside speaker, organizing a graduate student poster session, and other activities.

Michael Sierk Skills

Bioinformatics Teaching Research Biophysics Biochemistry Computational Biology Protein Expression Genomics Protein Purification R Pcr Molecular Cloning Protein Chemistry Structural Biology Science Data Analysis Sequence Analysis Scientific Writing Life Sciences Python Sql Microsoft Office Unix Communication Collaborative Problem Solving Leadership Teamwork Sequence Alignment Protein Structure Analysis X Ray Crystallography Data Presentation Scientific Computing Science Education Biomedical Sciences Interdisciplinary Collaboration Interdisciplinary Research

Michael Sierk Education Details

  • University Of Virginia
    University Of Virginia
    Biophysics
  • Rice University
    Rice University
    Physics (Biophysics Option)

Frequently Asked Questions about Michael Sierk

What company does Michael Sierk work for?

Michael Sierk works for Essential Software Inc

What is Michael Sierk's role at the current company?

Michael Sierk's current role is Experienced Bioinformatics Scientist | Data Analysis and Visualization | Machine Learning | Sports Fanatic.

What is Michael Sierk's email address?

Michael Sierk's email address is mi****@****ros.com

What schools did Michael Sierk attend?

Michael Sierk attended University Of Virginia, Rice University.

What skills is Michael Sierk known for?

Michael Sierk has skills like Bioinformatics, Teaching, Research, Biophysics, Biochemistry, Computational Biology, Protein Expression, Genomics, Protein Purification, R, Pcr, Molecular Cloning.

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