Michael is a consultant for clients needing expertise in AI and machine learning for health technologies, in vitro diagnostic instrumentation and software, advanced optical bioanalysis devices, cloud platform development, clinical study design, grant writing, and fundraising activities.

Developing smart diagnostics with the capacity to capture diseases early on before they spiral out of control

Since 2015, Custom Diagnostic Solutions (CDS) is an in vitro diagnostic reader company that provides its customers with simple, low-cost, easy-to-use, and reliable devices incorporating the latest advancements in embedded electronics, IoT, computer vision, and machine learning.

- Technical lead for hardware and software development for a portable molecular diagnostic instrument- Worked with industry partners to translate medical microdevice technology towards widespread clinical practice- Developed a Cardiac ScoreCard system for predicting a spectrum of cardiovascular disease towards the goal of empowering individuals with the information they need to manage their own health- Established a training-rich environment within the lab, mentored 5 junior… Show more - Technical lead for hardware and software development for a portable molecular diagnostic instrument- Worked with industry partners to translate medical microdevice technology towards widespread clinical practice- Developed a Cardiac ScoreCard system for predicting a spectrum of cardiovascular disease towards the goal of empowering individuals with the information they need to manage their own health- Established a training-rich environment within the lab, mentored 5 junior researchers in instrumentation and data-driven research projects- Taught 2 courses in Bioinstrumentation and 1 in Biophotonics Show less

- Developed a probabilistic renal stone formation model towards understanding gravity’s role in the nucleation of renal stones- Probabilistic modeling, literature review, compilation of data, parameter fitting from the data, algorithm development, and computer programming with MATLAB

- Quantified the risk of abdominal injury for ISS and exploration-class missions by constructing a biomechanical model of the abdomen and simulating impact using Monte Carlo sampling techniques- Probabilistic modeling, literature review, compilation of data, parameter fitting from the data, algorithm development, and computer programming with MATLAB- Implemented Bayesian Analysis for estimating the Poisson Probability of abdominal injury and head injury using WinBUGS software

- Operated the zero-gravity treadmill (eZLS) and biomedical instrumentation for studying locomotion on the Moon and Mars and exercise countermeasures during spaceflight- Provided future mission planning committees with the risks of 12 medical events encountered en route to Mars using Bayesian inference- Co-authored NASA Technical Publication: "Bayesian Analysis for Risk Assessment of Selected Medical Events in Support of the Integrated Medical Model Effort"