Nathaniel Anderson Email and Phone Number

Since 2022, I have been working on Fluency Align, which supports generating clinical documentation from doctor-patient conversations (originally at 3M, now at Solventum). I'm currently focused on front end development (React.js, TypeScript, Electron), but I continue to consult on the data engineering work that supports the model training feedback loop (implemented in AWS using Lambda, MySQL, S3, etc.).

Developing creative digital solutions that build on automatic speech recognition, computer vision, haptics, drones, and other technologies. 8 patent filings. Working on a cross-functional research team, I focus on front-end software development (JavaScript web apps, Android/iOS apps, and AR/VR experiences) and machine learning model development (Python). I have also worked on back-end development including setting up cloud infrastructure (AWS CloudFormation) and user authentication (Auth0).

Supporting projects related to haptics and medical adhesives as a researcher/software developer on a scrum team made up of experts in mechanical and electrical engineering, kinesiology, and neuroscience.- Creating software tools in MATLAB and R for data collection, visualization, and analysis- Supporting new technology development through literature reviews, creation and testing of prototypes, and writing technical reports- Assisting with FDA usability and internal clinical studies

Designed and carried out experiments related to language learning, speech errors, and speech perception. Published results in peer-reviewed articles appearing in Proceedings of the National Academy of Sciences, Brain and Language, Journal of Memory and Language, and others.Selected coursework:Machine Learning for Signal Processing, Neural Network Modeling Lab,Hierarchical Linear Models, Basic Multilevel ModelingDissertation title: "Implicit learning of distributional patterns in linguistic and non-linguistic sequence production"

Research assistantship: designed experiments, wrote Matlab code to collect data (audio recordings, eye tracking, EEG, MRI, optical imaging), analyzed data in Matlab and R, presented at national conferences, published research in Proceedings of the National Academy of Sciences and other journals, assisted with successful NIH grant application, trained and managed undergraduate research assistants, supervised 3 undergrad honors thesesTeaching assistant:Taught 2 lab sections for "Laboratory in Cognitive Psychology". Taught experimental design, basic statistics (t-test, ANOVA), and scientific writing.Taught "Learning and Memory" course. Designed syllabus and wrote all lectures and exams.

Worked on scrum team to design and develop GrainTruckPlus iOS app. Conducted interviews to determine customer needs, designed storyboards and wireframes, performed in-field usability testing