Lionel Guillou

Developing AI-based cancer diagnostics for digital pathology

• Leading data science team • Leading assay analytical validation for 510k submission to FDA • Managing key partners (microfluidic chip, assay reagents, and external controls)

• Developed assay controls to ensure reproducible results

• Developed sepsis detection algorithm (published in PLOS One)

• Developed a microindentation system to measure cell mechanical properties (published in Nature Scientific Reports) • Performed simulations to assess risk of catheters damaging the endothelium during medical intervention (published in Biophysical Journal) • Proposed an empirical model where T lymphocytes squeezing through small vessels is enabled by external membrane reservoirs (published in Molecular Biology of the Cell) • Created tool for automated cell migration tracking • Elected representative for PhD students

• Developed microfluidic device to measure cell biophysical properties (published in Biophysical Journal)

• Led the development of a Backup as a Service offer for a major French IT company starting a cloud business

• Modeled adoption rate of alternative energy vehicles through 2050 at the State level in the US and subsequent impact on carbon emissions • Co-authored white paper for World Economic Forum “Online and Upcoming: The Internet’s Impact on Aspiring Countries” and developed an online interactive tool

• Tested new concepts for renal denervation catheters through bench testing • Participated in and analyzed data from animal studies (pig) to assess safety and efficacy of catheter prototypes

• Developed model to quantify heat generated by Carmat’s Total Artificial Heart prosthesis post-implant