R&D Engineer, Machine Learning
CurrentWorking to make robotic-assisted surgery more powerful and more accessible.
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@skinio.com
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Nicholas Kinnaird is listed as Machine Learning Engineer @ Virtual Incision | PhD in Physics at Virtual Incision, a with 23 employees, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at skinio.com and a matched LinkedIn profile for Nicholas Kinnaird.
Nicholas Kinnaird previously worked as R&D Engineer, Machine Learning at Virtual Incision and Machine Learning Engineer at Skinio. Nicholas Kinnaird holds Doctor Of Philosophy (Phd), Elementary Particle Physics from Boston University.
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Machine learning engineer, data scientist, physicist, but most of all, problem solver.
Listed skills include Mathematics, Presentation Skills, Collaborative Problem Solving, Physics, and 36 others.
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Chicago, Illinois, United States
Working to make robotic-assisted surgery more powerful and more accessible.
Chicago, Illinois, United States
• Prototyped, developed, and trained numerous computer vision machine learning models (classification, segmentation, pose estimation, etc.) focused on skin cancer screening• Deployed models to AWS cloud stack (EC2, EB, Step Functions, etc.) and on-device (iOS) applications
Chicago, Illinois, United States
Part-time teaching assistant role at Podium Education, teaching undergraduates data analytics skills.
Batavia, Il
Served as a member of the Fermilab Muon g-2 Experiment, in an advanced capacity since earning a graduate degree working for the project.• Led a primary data analysis effort for publication of the highly anticipated 1st results of the Fermilab Muon g-2 experiment, extracted frequency from four large (TBs) datasets to high precision with non-linear regression models• Determined statistical compatibility of analysis team results with Monte Carlo simulation and statistical modeling•… Show more Served as a member of the Fermilab Muon g-2 Experiment, in an advanced capacity since earning a graduate degree working for the project.• Led a primary data analysis effort for publication of the highly anticipated 1st results of the Fermilab Muon g-2 experiment, extracted frequency from four large (TBs) datasets to high precision with non-linear regression models• Determined statistical compatibility of analysis team results with Monte Carlo simulation and statistical modeling• Contributed to technical publications and internal project documentation• Advised graduate students in developing roles and responsibilities within the experiment Show less
Boston
Earned a PhD in physics performing science research and data analysis for various projects within the Fermilab Muon g-2 Experiment. • Gained expertise in fitting and systematically evaluating large datasets, developed intuition in exploratory data analysis, data visualization, and data insight• Designed software tools (C++, Bash) and utilized distributed computing resources (Open Science Grid) to process and analyze large datasets (TBs)• Developed 1st track fitting algorithm… Show more Earned a PhD in physics performing science research and data analysis for various projects within the Fermilab Muon g-2 Experiment. • Gained expertise in fitting and systematically evaluating large datasets, developed intuition in exploratory data analysis, data visualization, and data insight• Designed software tools (C++, Bash) and utilized distributed computing resources (Open Science Grid) to process and analyze large datasets (TBs)• Developed 1st track fitting algorithm for the experiment utilizing chi-squared minimization and error propagation, which continues to provide vital telemetry and analysis data for the experiment, algorithm was statistically verified with Monte Carlo simulations in Geant4 and implemented into the larger data processing framework Show less
Other employees you can reach at virtualincision.com. View company contacts for 23 employees →
Taylor Bernt
Colleague at Virtual IncisionLincoln, Nebraska Metropolitan Area, United States
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David Steager
Colleague at Virtual IncisionLincoln, Nebraska, United States
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Lukas Degraw
Colleague at Virtual IncisionOmaha, Nebraska, United States
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Ashlynn Meyer
Colleague at Virtual IncisionLincoln, Nebraska, United States
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Charles Mccoy
Colleague at Virtual IncisionLincoln, Nebraska, United States
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Carl Olson
Colleague at Virtual IncisionLincoln, Nebraska, United States
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Chris O'Hara
Colleague at Virtual IncisionRancho Santa Margarita, California, United States
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David Anderson
Colleague at Virtual IncisionWindsor, Wisconsin, United States
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Nathan Otten
Colleague at Virtual IncisionUnited States
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Clare Bridge
Colleague at Virtual IncisionLincoln, Nebraska, United States
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Metis is a 12-week immersive data science boot camp with a project-based curriculum and a focus on problem-solving, data-wrangling.
Activities and Societies: Society of Physics Students
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Nicholas Kinnaird works for Virtual Incision.
Nicholas Kinnaird is listed as Machine Learning Engineer @ Virtual Incision | PhD in Physics at Virtual Incision.
AeroLeads has found 1 work email signal at @skinio.com for Nicholas Kinnaird at Virtual Incision.
Nicholas Kinnaird is based in Chicago, Illinois, United States while working with Virtual Incision.
Nicholas Kinnaird has worked for Virtual Incision, Skinio, Podium Education, and Boston University.
Nicholas Kinnaird's colleagues at Virtual Incision include Taylor Bernt, David Steager, Lukas Degraw, Ashlynn Meyer, and Charles Mccoy.
You can use AeroLeads to view verified contact signals for Nicholas Kinnaird at Virtual Incision, including work email, phone, and LinkedIn data when available.
Nicholas Kinnaird holds Doctor Of Philosophy (Phd), Elementary Particle Physics from Boston University.
Nicholas Kinnaird is listed with skills including Mathematics, Presentation Skills, Collaborative Problem Solving, Physics, Academic Research, Git, Interdisciplinary Collaboration, and Data Science.
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