Experienced engineering physicist motivated to solve difficult problems that require a strongtechnical knowledge of algorithms, math, and physics. My academic background is incomputational fluid dynamics with over 10 years of academic and industrial experienceincluding 6 years as Head of Fluidics and Sensor Research at a previous employer. In variousroles across different industries, I have acquired extensive experience in engineering design andproduct development, as well as project management and team leadership. More recently, Ifocused my computing background on machine learning problems and deep learning,leveraging my foundation in computational methods and data analysis to optimize datapipelines for digital drug discovery. In this role, I combined graph neural networks andoptimization search algorithms in PyTorch to design, screen and discover new potential drugtreatments.
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Director Of Data ScienceEsg.Ai Technologies Nov 2023 - Present -
Machine Learning Research AssociateEsgai Technologies Inc. Feb 2022 - Nov 2023 -
Machine Learning EngineerProteic Bioscience Jul 2021 - Feb 2022 -
Head Of Fluidics And Sensor Research And DevelopmentNanozen May 2015 - Jul 2021Technical Lead for Nanozen's sensor and fluidics technology for all stages of product development.Duties included:- Researching state of the art technologies for aerosol sensing, characterization, and separation.- Developing computational models for CFD, mie scattering, and analog front ends to optimize and drive design of the sensor.- Algorithm development for analyzing sensor outputs to optimize data and improve accuracy of the DustCount product.- Mechanical design of the sensor and flow channels using CAD and creating manufacturing packages with technical drawings.- Working and communicating with vendors and 3rd party contractors to prototype and test all mechanical components for the DustCount product.- Development of testing procedures and apparatuses for all aspects of the DustCount product's operation and functions.- Passing off all designs to Nanozen's manufacturing department and supporting the manufacturing and certification processes. -
Graduate StudentThe University Of British Columbia Sep 2011 - May 2015Studied the applications of electrowetting microprisms to 3D displays.Developed a novel computational model using smoothed particle hydrodynamics and electromagnetic FEM to accurately predict the deformation of free surface micro droplets in an external electric field.Simulation results were validated by fabrication and testing of a prototype prism using a developed hydrophobic patterning technique using PTFE nanoparticles and a PDMS stamp. -
Research AssistantThe University Of British Columbia May 2010 - May 2011Investigated the acoustic properties of various musical instruments by studying and measuring the resonant modes and frequencies of the instrument bodies.Measured the resonant modes and frequencies using acoustic and hammer excitation with an accelerometer for data collection. Fourier transform data collection and analysis was done in excel and Matlab.Final results were published in the Journal of the Acoustical Society of America:Chen, M., Kotlicki, A., Waltham, C. E., Wolfe, N., Yu, J.-F., Zhu, C., “Vibrational behavior of a soundbox in an atmosphere with a variable speed of sound”, J. Acoust. Am. Soc. 131 (2012) 2495-2499.Daltrop, S., Kotlicki, A., Waltham, C. E., Wolfe, N., Gautier, F. and Elie, B., “Vibroacoustic characteristics of a gothic harp”, J. Acoust. Am. Soc. 131 (2012) 837-843. -
Research AssistantBc Children'S Hospital, Vancouver May 2009 - Aug 2009Worked in the BC Children's fMRI department studying the application and accuracy of automatic parcellation with regards to fMRI studies of epilepsy patients.Using Matlab, implemented a novel search algorithm leveraging 3D convolution of high resolution MRI brain scans to track major sulci in patients. -
Laboratory AssistantThe University Of British Columbia Sep 2008 - May 2009Worked in the UBC 7T MRI research center assisting in the design and fabrication of pick up coils for MRI studies of rat spinal cords.Designed and implemented a Matlab GUI that processed and presented MRI image data to aide researchers in sorting and analyzing research projects. -
TechnicianTeck Resources Limited Jan 2007 - Apr 2007Assisted in the building and maintenance of hydrometallurgy pilot projects. Final project focused on fluid dynamic calculations for the design of a slurry transport system within the plant.
Nathan Wolfe Education Details
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Mechanical Engineering -
Engineering Physics
Frequently Asked Questions about Nathan Wolfe
What company does Nathan Wolfe work for?
Nathan Wolfe works for Esg.ai Technologies
What is Nathan Wolfe's role at the current company?
Nathan Wolfe's current role is Director of Data Science at ESG.AI.
What schools did Nathan Wolfe attend?
Nathan Wolfe attended The University Of British Columbia, The University Of British Columbia.
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Nathan Wolfe
Reference And Instruction Librarian At University Of Toronto MississaugaHaldimand County, On
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