• Developed cloud-based, automated image analysis software using Python and OpenCV for multiplexed SARS-CoV2 antigen microarrays, providing quantitative results.• Conducted advanced statistical analysis, Bayesian inference, and machine learning on R&D and clinical data, informing strategic product development decisions.• Developed statistical models including a predictive SARS-CoV-2 neutralizing antibody decay model which was presented at a conference.• Delivered weekly presentations to CEO, VPs, and team, driving pivotal assay and device improvements.• Reported directly to the VP of Immunochemistry.• Created 6 internal Python packages/tools and implemented comprehensive automated test suites for mission-critical codebases.• Was part of or collaborated with 4 cross-functional teams.• Trained team in Python, Git, and data analysis techniques for enhanced productivity and collaboration.

Advisor: Dino Di Carlo, PhD• Applied deep learning (Keras/Tensorflow) and machine learning to predict stimulated immune cells from complex physical data on a fluorescence imaging flow cytometry platform, achieving impactful insights.• Led international collaboration to standardize mechanical phenotypic cell measurements across platforms and labs, employing innovative analytics.• Developed innovative label-free method and image analysis to detect amplified DNA in droplets from brightfield images, leading to a patent.• Developed innovative fluorescence imaging flow cytometry methods to identify high-performing microalgae for enhanced biofuel production in international initiative.• Established lab code-sharing on GitHub, fostering collaboration on internal/external projects.

• Taught and advised undergraduate students on engineering concepts in the classroom, wet lab, and dry lab.

• Developed semi-autonomous large-scale microscope image analysis software in Python.

• Created image processing and machine learning algorithms to detect acute vertebral fractures and degenerative joint disease in the thoracolumbar spine from CT scans.

• Designed and drafted light-guided lipoplasty attachment prototypes for fabrication.

The course introduces students to modern comic books, and teaches them how to analyze and understand comic books. The course covers the industry as well as in-depth examinations of popular and relevant stories.

• Optimized saliva-based lab-on-a-chip (LOC) sensors for detection of cardiovascular disease. • Devised integrated module to deliver saliva to the LOC.• Designed and optimized a unique herringbone mixer for microfluidic structures.

• Integrated over 100 off-campus students with on-campus students. • Assisted the Vice-President with elections, referenda and initiatives. • Represented the off-campus interests in Central Committee voting.

• Partnered with Museum of Fine Arts, Houston as Engineering Design for Art and Artifact Conservation to design new protective systems to transport two-dimensional artwork.• Resulted in application for two patents and prototypes to be implemented in the museum.

Worked with bacteria culture preparation, creation and transformation of competent cells and plasmid isolation as well as other bacteria culture-related skills.

Assisted in the digitization and organization of materials for the Americas Archives Digital Project using Better Light scanning system.