Michael Sebek
Northeastern University
Research Expertise
About
Publications
Education
Truman State University
Bachelor of Science, Chemistry / May, 2012
Saint Louis University
Master of Science, Chemistry / May, 2014
Saint Louis University
Ph.D., Chemistry / December, 2017
Experience
Truman State University
Undergraduate Researcher / August, 2010 — May, 2012
Constructed a procedure to apply sol-gel thin films to fiber optic cables, Performed Scanning Electron Microscopy to assess the quality of the coating | Skills: Sol-Gel Preparation, UV-Vis Spectroscopy, Scanning Electron Microscopy
Saint Louis University
Graduate Teaching Assistant / August, 2012 — May, 2017
Prepared and taught labs for Analytical Chemistry I, Physical Chemistry II, General Chemistry I and II
Saint Louis University
Graduate Researcher / July, 2012 — December, 2017
Created a method to construct and apply networks to units of electrochemical reactions Explored the impact of network topology and unit heterogeneity on network behavior Built code in LabVIEW, MATLAB, and R to collect and analyze data as well as to simulate the experiments Designed community outreach demonstration experiments for the research | Skills: Potentiometry, Anode-Cathode Systems, Electrochemical Cells, LabVIEW, MATLAB, R, TeXworks, 3D printing, Autodesk Eagle, AutoCAD
Northeastern University
Post-Doctoral Researcher / August, 2018 — Present
Used network medicine approaches to predict food-drug and food-disease associations Gathered and disambiguated resources on food composition and protein-protein interactions Led metabolomics projects and analyzed metabolomics data Performed both statistical and machine learning analysis of metabolomics and food composition data Designed a machine learning/artificial intelligence pipeline to predict biochemical-protein interactions Led and aided the development of grant proposals to both private and government organizations Lead and organize multiple teams towards the completion of lab projects | Skills: Network Science, Data Science, Python, Metabolomics, Network Medicine, Machine Learning, Artificial Intelligence, Large Language Models, Google Cloud Platform
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