Devin Mccombie, Phd Email & Phone Number

San Diego, California, Us

Director level hardware executive leading the development of Dexcom's next generation wearable.- Algorithms, Electrical Engineering, Firmware, Mechanical Engineering, Process Development Engineering, Sensors, Verification & Validation

Product Development and Consulting Services for Startup Medical Technology Companies

Carlsbad, California, Us

Led a digital health company that markets and sells a new generation wearable patient monitoring solution for acute patients in hospital and home. - Created corporate vision, built leadership team, & redefined culture | cut OPEX (4X) 2019 to 2021- Revamped commercial strategy & rebuilt customer relationships | increased revenue (2X) 2019 to 2020- Defined product roadmap and R&D strategy | accelerated next gen product while cutting costs ($1M)- Outsourced manufacturing, relocated facility, kept regulatory compliance | reduced overhead (30%)- Developed & directed IP strategy | prevailed in patent infringement lawsuit & minimized costs ($2M)- Developed and executed capital plan | led two successful equity funding rounds totaling $10M

Carlsbad, California, Us

Led data science & algorithm team to develop advanced vital sign algorithms, patient event classification, smarter patient alarms, & improve clinical workflow- Managed data pipeline from hospital wearables to AWS cloud | 700K patients & 28M hours- Developed ML models and algorithms on time-series data stored in AWS data lake | 700 TB data- Deployed ML models and algorithms in edge computing environment | under 5 alarms/patient/day- Integrated & optimized physiologic sensors & circuitry for new wearable | PPG, EKG, IP, ACC & Temp- Managed & expanded corporate patent portfolio | 100+ patents world-wide- Led external research partnerships with leading academic hospitals | 12 top tier journal publications

Carlsbad, California, Us

Led a MedTech product development team for a wearable patient monitoring company: hardware, embedded software, server software, verification & validation, algorithms & data science- Worked cross functionally to define product roadmap, R&D strategy, and organizational structure - Led Agile software development under design controls - Major software releases enabled arrhythmia and enterprise wireless security (PEAP & EAP-TLS)- Implemented new software development processes and tools | Git, Bitbucket, JIRA, Confluence, Zephyr- Developed data pipeline from hospital customers to AWS cloud data lake | 80+ US hospitals- Created product development plan and launched development of a new wearable solution- Partnered with 3rd party design firm for customer research, ID, & UI/UX design- Implemented iterative design methodology and robotic testing into hardware development- Redesigned wearable hardware, eliminated mechanical reliability issues, large cost savings ($1M/year)- Managed corporate intellectual property (patents, trademarks, copyrights, and trade secrets)- Prevailed in trade secret litigation versus large competitor, no damages awarded on technical allegation- Developed research collaborations with clinicians at top hospitals and universities | Johns Hopkins, Cleveland Clinic, Wake Forest, Radboud UMC, UNSW

Carlsbad, California, Us

Principal data scientist and algorithm engineer: worked in a player/coach role to develop and deploy machine learning models on time series data, signal processing algorithms, and design sensor hardware for wearable medical monitor. - Developed first-of-its-kind cuffless, continuous blood pressure monitor | FDA 510(k) cleared- Developed ICU accurate vital sign algorithms | 510(k) cleared – NIBP, SpO2, Resp, PR, and HR- Developed motion tolerant vital sign algorithms| 510(k) cleared – patient, vehicle, helicopter motion- Developed patient posture & activity algorithms | 510(k) cleared – reduce falls and pressure ulcers- Ported algorithms from Python to C to deploy on microcontroller | debugged, verified, human testing- Led clinical testing for all algorithms | supported 510(k) submissions- Performed statistical analysis of clinical study data | Bland-Altman, ANOVA, T-Test, P-Value- Designed novel optical sensor and algorithm for pulse oximetry| applied to base of the thumb or fingers- Designed analog circuitry for sensors | PPG, EKG, bioimpedance, and pressure transducer

Doctor Of Philosophy (Ph.D.), Engineering - Robotics

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

Master Of Science (M.Sc.), Mechanical Engineering

Bachelor Of Science (Bs), Bioengineering And Biomedical Engineering