James Skoric Email & Phone Number

Minneapolis, Mn, Us

Toronto, Ontario, Canada

- Leading machine learning research at Managing Life, driving the development of industry-ready models tailored for digital health applications.- Collaborating with the Transitional Pain Service at the Toronto General Hospital to leverage app data and patient-reported outcomes to predict clinical outcomes.

Toronto, Ontario, Canada

- Developed a PyTorch-based model to accurately predict functional improvement in chronic pain patients, utilizing complex time-series and tabular data.- Engineered robust data pipelines to transform irregular, real-world data from the Manage My Pain app into structured, interpretable formats for analysis.

Montreal, Quebec, Canada

- Designed innovative signal processing techniques for health monitoring applications using MATLAB and Python on nonstationary time-series signals.- Designed and implemented a generative adversarial network (GAN) to generate synthetic seismocardiography (SCG) heartbeats, enhancing the quality and availability of data for training models.- Formulated a deep learning strategy for hemodynamic estimation from novel sensing mechanisms, significantly simplifying the measurement technique.- Implemented a wavelet decomposition and nonnegative matrix factorization method for blind source separation of motion artifacts in ambulatory signals.- Led the design and execution of a major research project from conceptualization to execution, including experiment design, securing funding, and collaboration with industrial partners, driving forward innovations in wearable technologies.- Placed 2nd Overall in the 2021 HackMedTech hackathon for designing a low-power, reusable wearable for seizure detection alert.- Completed the MedTech Talent Accelerator, completing specialized coursework in clinical trials, medical device development, and commercialization strategies.- Presented a GAN for synthetic SCG generation at the 2023 CINC in Atlanta, USA- Presented a convolutional neural network for cuff-less blood pressure estimation from wearable cardiography at the 2023 CINC in Tampere, Finland.

Montreal, Quebec, Canada

- Developed a real-time algorithm using autocorrelation and feature amplification to extract heart rate and vital signs SCG.- Presented at the 2020 EMBC in Montreal on the respiratory analysis of SCG.- Presented at 2019 EMBC in Berlin the effect of lung volume on SCG.

Montreal, Quebec, Canada

• Modelling and design of Passive Silicon Photonics devices, test and measurement techniques.• Analysis of the nanostructure in diatoms through NSOM, SEM, and AFM imaging techniques.

Toronto, Ontario, Canada

• Worked on the TTC Construction Management project in the PRESTO / Intelligent Transit Systems department.• Inspected and reported on daily electrical and construction work while maintaining TTC policies, rules, and safety requirements.

Doctor Of Philosophy - Phd, Electrical And Computer Engineering

Master Of Science (M.Sc.), Electrical And Computer Engineering

Bachelor Of Engineering (B.Eng.), Electrical And Computer Engineering