Nathan Neeteson
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Nathan Neeteson Email & Phone Number

AI Specialist at Mayfair Diagnostics
Location: Greater Calgary Metropolitan Area, Canada 7 work roles 3 schools
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Role
AI Specialist
Location
Greater Calgary Metropolitan Area, Canada
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Nathan Neeteson is listed as AI Specialist at Mayfair Diagnostics, a with 406 employees, based in Greater Calgary Metropolitan Area, Canada. AeroLeads shows a matched LinkedIn profile for Nathan Neeteson.

Nathan Neeteson previously worked as PhD Candidate at University Of Calgary and Research Engineer at Rgl Reservoir Management Inc.. Nathan Neeteson holds Doctor Of Philosophy - Phd, Biomedical Engineering from University Of Calgary.

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Mayfair Diagnostics

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About Nathan Neeteson

I have eleven years of experience between industry and academia, with hands-on experience in:🄼 experimental design and implementationšŸ“Š data analysis and visualization🧮 numerical methodsšŸ¤– machine learning🩻 image processing

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Mayfair Diagnostics
Mayfair Diagnostics
AI Specialist
calgary, alberta, canada
Employees
406
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7 roles

Nathan Neeteson work experience

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Phd Candidate

Calgary, Alberta, Canada

Department: Biomedical EngineeringWorking in the Bone Imaging Lab in the McCaig Institute, under Dr. Steven K. Boyd.Main Independent Projects:- developed deep learning-based tool to automate quantitative analysis of distal radius and tibia HR-pQCT images- created and distributed a Python (numpy/numba) implementation of Hildebrand's algorithm for structure thickness estimation from a 3D binary segmentation- developed a combined deep learning and atlas-based segmentation approach to automate quantitative analysis of knee (distal femur and proximal tibia) HR-pQCT images- used dimensionality reduction, synthetic data generation, and statistical modelling to demonstrate the theoretical and empirical interdependence of four standard bone microarchitectural measures (trabecular thickness, spacing, number, and bone volume fraction)- created an open-source implementation of Graham Treece's model-fitting algorithm for estimating cortical thickness in CT and extended the method to incorporate spatial regularization of the modelled thicknesses- applied my automated analysis workflow, factor analysis, and mixed-effects models to a longitudinal clinical cohort to investigate periarticular bone changes at the knee that occur one year after acute ACL injury and after ACL reconstruction surgeryCollaborations:- quantification of uncertainty in phantomless calibration of opportunistic clinical CT- automated detection of BMLs in MRI using deep learning- characterization of the performance of large-scale HR-pQCT-based FESome of the undergraduate summer research projects I supervised include:- adaptation of a novel measurement technique (voidspace) for knee HR-pQCT images- collection and analysis of a repeat-scan dataset for estimating precision of knee HR-pQCT analyses- development of client-server software for streamlined integration of Python-based image analysis pipelines into the XtremeCTII system

Sep 2020 - Aug 2024

Research Engineer

Calgary, Canada Area

- developed and improved numerical solvers for Nalu, a near-wellbore simulator that models fluid dynamics and thermodynamics to assess and optimize the performance of a flow- and sand-control strategy- developed an automated workflow for CFD simulations that uses Gmsh, OpenFOAM, and Bash shell scripting to sweep a parameter space to evaluate partial completion strategies

Aug 2018 - Jun 2020

Phd Candidate (Dnf)

Queen'S University

Kingston

Department: Mechanical Engineering- worked on the development of a novel data assimilation technique in OpenFOAM- assisted with the supervision of two MSc students using experimental and numerical methods to characterize the flow around a pit turbine hub for an Ottawa-based hydropower company- delivered high-level scientific presentations at multiple international conferences

Jan 2016 - Aug 2018

Msc Student

Calgary

Department: Mechanical EngineeringThesis: Pressure-Field Extraction Using Unstructured Flow Data- developed a novel pressure extraction algorithm for use with unstructured velocimetry data obtained from non-intrusive optical measurements- delivered high-level scientific presentations at multiple international conferences and research consortium meetings- designed and conducted several experiments TA courses: intro. fluid dynamics, mechatronics, senior capstone design

May 2013 - May 2015

Summer Student - Financial Management

Kingston, Ontario

Worked in the Corporate Actuarial department.- research on various probabilistic models for interest rates and mortality prediction - developed several tools in Excel which utilized historical data to calibrate models for the projection of interest rate and mortality rate scenarios, which were then used in the evaluation of risk-mitigation investment strategies.

May 2012 - Aug 2012

Summer Student - Claims

Kingston, Ontario

Processed claims for the Extended Health Benefits system in the General Health Claims department.

May 2011 - Sep 2011
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Colleagues at Mayfair Diagnostics

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3 education records

Nathan Neeteson education

Doctor Of Philosophy - Phd, Biomedical Engineering

Supervisor: Dr. Steven K. Boyd Thesis: Development of Novel Automated Methods for Quantitative Analysis of Bone with HR-pQCT.

Master Of Science - Ms, Mechanical Engineering

Supervisor: Dr. David E. Rival Thesis: Pressure-Field Extraction Using Unstructured Flow Data

Bachelor Of Science - Bs, Engineering Physics

Option: Mechanical Engineering Graduated with first class honours.

FAQ

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What company does Nathan Neeteson work for?

Nathan Neeteson works for Mayfair Diagnostics.

What is Nathan Neeteson's role at Mayfair Diagnostics?

Nathan Neeteson is listed as AI Specialist at Mayfair Diagnostics.

Where is Nathan Neeteson based?

Nathan Neeteson is based in Greater Calgary Metropolitan Area, Canada while working with Mayfair Diagnostics.

What companies has Nathan Neeteson worked for?

Nathan Neeteson has worked for Mayfair Diagnostics, University Of Calgary, Rgl Reservoir Management Inc., Queen'S University, and Empire Life.

Who are Nathan Neeteson's colleagues at Mayfair Diagnostics?

Nathan Neeteson's colleagues at Mayfair Diagnostics include Christina Shahipour, Courtney W., Azhar Hussain Panhwar, Nancy Katchmar, and Jessica Hogan.

How can I contact Nathan Neeteson?

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What schools did Nathan Neeteson attend?

Nathan Neeteson holds Doctor Of Philosophy - Phd, Biomedical Engineering from University Of Calgary.

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