Michael Grossutti
Data Scientist & ML Lead at Spectra Plasmonics- Claim this Profile
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Bio
Michael Casavant, PMP
I’ve had the pleasure and the privilege of working on a project with Dr. Grossutti. He is a triple threat in the way that he can 1) apply advanced analytical methods to real-life products and processes, 2) then apply machine learning modeling to millions of datapoints to end up with insightful and novel conclusions, and 3) explain his work in such a way that a non-expert can appreciate how Dr. Grossutti can distil an insanely complicated topic into understandable terms. I have been impressed and inspired by Dr. Grossutti’s work and would jump at the chance to work with him again.
Peter Kazmaier
I have collaborated closely with Dr. Michael Grossutti for more than five years. He has made outstanding contributions to our multi-disciplinary team and showed comprehensive understanding of a broad range of fields which enables him to communicate effectively even with team members who did not share his expertise. Dr. Grossutti is a brilliant and exceptionally fast learner. He has championed Machine Learning techniques for our group and applied that subject to our research challenges to an exceptional degree. Even skeptics were impressed by the insights that Dr. Grossutti was able to elucidate with his Machine Learning innovations. I can only recommend Dr. Grossutti in the strongest and most favorable terms. I have worked with many gifted scientists and engineers. I would rate Dr. Grossutti near the top or at the top of the many fine researchers with whom I have had the privilege of working. He would be an asset to any research team. His broad knowledge base, his exceptional communication skills, and his gift for becoming an expert in new fields, eminently qualify him for team leadership on a multidisciplinary team.
Michael Casavant, PMP
I’ve had the pleasure and the privilege of working on a project with Dr. Grossutti. He is a triple threat in the way that he can 1) apply advanced analytical methods to real-life products and processes, 2) then apply machine learning modeling to millions of datapoints to end up with insightful and novel conclusions, and 3) explain his work in such a way that a non-expert can appreciate how Dr. Grossutti can distil an insanely complicated topic into understandable terms. I have been impressed and inspired by Dr. Grossutti’s work and would jump at the chance to work with him again.
Peter Kazmaier
I have collaborated closely with Dr. Michael Grossutti for more than five years. He has made outstanding contributions to our multi-disciplinary team and showed comprehensive understanding of a broad range of fields which enables him to communicate effectively even with team members who did not share his expertise. Dr. Grossutti is a brilliant and exceptionally fast learner. He has championed Machine Learning techniques for our group and applied that subject to our research challenges to an exceptional degree. Even skeptics were impressed by the insights that Dr. Grossutti was able to elucidate with his Machine Learning innovations. I can only recommend Dr. Grossutti in the strongest and most favorable terms. I have worked with many gifted scientists and engineers. I would rate Dr. Grossutti near the top or at the top of the many fine researchers with whom I have had the privilege of working. He would be an asset to any research team. His broad knowledge base, his exceptional communication skills, and his gift for becoming an expert in new fields, eminently qualify him for team leadership on a multidisciplinary team.
Michael Casavant, PMP
I’ve had the pleasure and the privilege of working on a project with Dr. Grossutti. He is a triple threat in the way that he can 1) apply advanced analytical methods to real-life products and processes, 2) then apply machine learning modeling to millions of datapoints to end up with insightful and novel conclusions, and 3) explain his work in such a way that a non-expert can appreciate how Dr. Grossutti can distil an insanely complicated topic into understandable terms. I have been impressed and inspired by Dr. Grossutti’s work and would jump at the chance to work with him again.
Peter Kazmaier
I have collaborated closely with Dr. Michael Grossutti for more than five years. He has made outstanding contributions to our multi-disciplinary team and showed comprehensive understanding of a broad range of fields which enables him to communicate effectively even with team members who did not share his expertise. Dr. Grossutti is a brilliant and exceptionally fast learner. He has championed Machine Learning techniques for our group and applied that subject to our research challenges to an exceptional degree. Even skeptics were impressed by the insights that Dr. Grossutti was able to elucidate with his Machine Learning innovations. I can only recommend Dr. Grossutti in the strongest and most favorable terms. I have worked with many gifted scientists and engineers. I would rate Dr. Grossutti near the top or at the top of the many fine researchers with whom I have had the privilege of working. He would be an asset to any research team. His broad knowledge base, his exceptional communication skills, and his gift for becoming an expert in new fields, eminently qualify him for team leadership on a multidisciplinary team.
Michael Casavant, PMP
I’ve had the pleasure and the privilege of working on a project with Dr. Grossutti. He is a triple threat in the way that he can 1) apply advanced analytical methods to real-life products and processes, 2) then apply machine learning modeling to millions of datapoints to end up with insightful and novel conclusions, and 3) explain his work in such a way that a non-expert can appreciate how Dr. Grossutti can distil an insanely complicated topic into understandable terms. I have been impressed and inspired by Dr. Grossutti’s work and would jump at the chance to work with him again.
Peter Kazmaier
I have collaborated closely with Dr. Michael Grossutti for more than five years. He has made outstanding contributions to our multi-disciplinary team and showed comprehensive understanding of a broad range of fields which enables him to communicate effectively even with team members who did not share his expertise. Dr. Grossutti is a brilliant and exceptionally fast learner. He has championed Machine Learning techniques for our group and applied that subject to our research challenges to an exceptional degree. Even skeptics were impressed by the insights that Dr. Grossutti was able to elucidate with his Machine Learning innovations. I can only recommend Dr. Grossutti in the strongest and most favorable terms. I have worked with many gifted scientists and engineers. I would rate Dr. Grossutti near the top or at the top of the many fine researchers with whom I have had the privilege of working. He would be an asset to any research team. His broad knowledge base, his exceptional communication skills, and his gift for becoming an expert in new fields, eminently qualify him for team leadership on a multidisciplinary team.
Experience
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Spectra Plasmonics
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Canada
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Public Health
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1 - 100 Employee
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Data Scientist & ML Lead
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Mar 2023 - Present
Developing machine learning models for chemical identification. Developing machine learning models for chemical identification.
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University of Guelph
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Canada
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Higher Education
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700 & Above Employee
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Research Scientist
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Apr 2023 - Present
Leading infrared imaging and machine learning research program.Using deep generative modeling and chemical infrared imaging to understand ageing, degradation, and cracking in cross-linked polyethylene (PEX) pipe.
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Research Associate - HeatLink/PexCor
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Sep 2017 - Apr 2023
We measure PEX-a pipe properties and perform accelerated aging protocols to evaluate pipe formulations and failure mechanisms, analyzing data with machine learning techniques. I oversee our ongoing PEX pipe stress station program, data acquisition by infrared microscopy and infrared imaging, and data management. We rely on machine learning techniques to identify and understand the underlying physicochemical factors responsible for the variance in our data. I build, train, evaluate, tune, and apply machine learning models to infrared microscopy and imaging data in order to understand pipe aging, degradation, and cracking; and improve pipe production and formulation parameters.Most recently we have developed deep generative artificial neural network β-variational autoencoder (β-VAE) models to identify and quantify physicochemical aging and degradation processes occurring in PEX-a pipe. The β-VAE learns independent and interpretable representations of the physicochemical factors responsible for the spectral variance, and as such provide valuable information on PEX-a pipe ageing, degradation, and cracking. Show less
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Research Associate - Mirexus Biotechnologies
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Sep 2017 - Apr 2023
We study the structure, properties, and interactions of native, chemically-modified, and enzymatically-modified phytoglycogen. I guide the research, experimental measurements, and data analysis/interpretation of graduate students characterizing the properties and interactions of native and modified phytoglycogen nanoparticles, and apply machine learning models to extract insights from biophysical data.
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Mirexus Biotechnologies Inc.
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Canada
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Biotechnology Research
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1 - 100 Employee
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Postdoctoral Research Fellow
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Sep 2014 - Aug 2017
• Awarded Mitacs Elevate Fellowship shared between Mirexus and the University of Guelph • Developed experimental methods and data analysis, in collaboration with Mirexus scientists and university researchers, for the characterization of phytoglycogen nanoparticles, a versatile nanomaterial commercialized by Mirexus Biotechnologies • Awarded Mitacs Elevate Fellowship shared between Mirexus and the University of Guelph • Developed experimental methods and data analysis, in collaboration with Mirexus scientists and university researchers, for the characterization of phytoglycogen nanoparticles, a versatile nanomaterial commercialized by Mirexus Biotechnologies
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University of Guelph
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Canada
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Higher Education
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700 & Above Employee
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Laboratory Instructor
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Sep 2008 - Dec 2013
• Instructed undergraduate teaching labs of 8 to 24 students in analytical chemistry, analytical toxicology, and general chemistry• Provided one-on-one and group tutorials (20+ students) at the Chemistry Learning Centre• Designed new infrared, NMR, and Raman spectroscopy experiments for a newly developed upper year undergraduate chemistry laboratory course
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Doctoral Researcher
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Sep 2008 - Dec 2013
• Coated spherical hydrogel scaffolds with lipid membranes for biophysical studies; utilized lipid membrane as permeability barrier and loaded porous hydrogel with small molecules for fluorescence-based controlled release studies; resulted in 3 peer-reviewed publications• Coupled IR spectroscopy and electrochemistry methods to study surfaces functionalized with small amphiphilic molecules in aqueous environments; resulted in 3 peer-reviewed publications
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Education
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2008 - 2014
University of Guelph
PhD, Chemistry -
2020 - 2021
UC San Diego
Data Science MicroMasters Program (edX) -
2004 - 2008
University of Guelph
BSc, Chemistry
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