Clement Lee Email & Phone Number

Oceanside, Ca, Us

Developed novel signal processing algorithms and software to detect DNA and RNA variants in dPCR data. - Translated R&D workflows into production-grade Python packages integrated into a container-first deployment platform. Refactored into Golang modules to reduce assay processing time by 70%. - Leveraged clustering, regression, kernel density estimation, and Poisson correction.- Established software product development roadmaps and deliverables across cross-functional algorithms, research, systems, and manufacturing teams.- Tested, packaged, and released software utilizing AWS, including EKS on EC2, S3, Lambda, CodePipeline.

Developed novel signal processing algorithms and software to detect DNA and RNA variants in dPCR data. - Translated R&D workflows into production-grade Python packages integrated into a container-first deployment platform. Refactored into Golang modules to reduce assay processing time by 70%. - Leveraged clustering, regression, kernel density estimation, and Poisson correction.-Established software product development roadmaps and deliverables across cross-functional algorithms, research, systems, and manufacturing teams.- Tested, packaged, and released software utilizing AWS, including EKS on EC2, S3, Lambda, CodePipeline.

Translated EEG research findings to neurofeedback, enabling clinicians to gain additional insight on how best to help their patients. - Developed data processing pipelines for clinical data exploration in neurofeedback applications.- Provided oversight on data handling and storage to ensure HIPPA compliance.- Consulted for providers at other clinics and taught at webinars and workshops.

Ucsd Supercomputer Center

Primary staff for NIH, NSF, and Army Research Lab funded EEG research studies, including preclinical trials. - Designed experiments and data analysis strategies, implemented data processing software and pipelines, collected multimodal data from human participants in more than 200 sessions and 15 studies with high precision neural recording hardware, full body motion capture, eye tracker, ECG, etc. - Core contributor to EEGLAB (23,000+ citations), the most popular MATLAB toolbox for EEG research. Machine learning, independent component analysis, bootstrap statistics, multivariate regression modeling, data simulation, visualization.- Contributor to Lab Streaming Layer (C++), a low-latency communication protocol for experimental devices. - Developed and disseminated a photogrammetric brain electrode localization research tool. Reduced experiment time by up to 40 minutes at the cost of adding 5 minutes in post-processing.- Coordinated industry sponsors and organized international workshops (350+ virtual attendees in 2021).

Ucsd Supercomputer Center

Researched event related potential (ERP) and brain connectivity: machine learning, bootstrap statistics, multivariate regression modeling, data simulation, visualization, etc.- Oral Presentation at 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) in Milan, Italy.- Administered human EEG experiments and characterized signal processing strategies that leveraged independent component analysis and other EEGLAB functions.

La Jolla, Ca

UCSD undergraduate upper-division course taught by Professor Ratnesh Lal. Topics include optical imaging, fluorescence imaging, confocal microscopy, optical tweezers, multimodality imaging, etc.

Hamilton Glaucoma Center & Ucsd Medical Teaching Facility, La Jolla, Ca

Conducted PCR genotyping, data analysis, immunohistochemistry, retinal imaging, image processing, tissue collection, animal husbandry.- Main Project: Retinal Cell Survival in Glaucoma Rodent Models under Dietary Treatment.- Optimized data analysis workflow for dendrite image annotation using Imaris image analysis software.

Master Of Science (M.S.), Bioengineering And Biomedical Engineering

Bachelor Of Science (B.S.), Bioengineering And Biomedical Engineering