Project: Bayesian signal processing for 3D photoacoustic tomography and Raman spectroscopy - Achieved a 60x speedup in image reconstruction time by switching from CPU to GPU architecture - Achieved a 10x increase in the sensitivity of a Raman microscope by using Bayesian probability theory and principal component analysis to improve robustness to natural background fluctuations - Audited machine learning course on supervised and unsupervised methods such as support vector machines, logistic regression, principal and independent component analysis

Project: Created content recommendation tool for automatically identifying LinkedIn contacts on Twitter - Used collaborative filtering to disambiguate Twitter profiles with an accuracy of 90%, despite an average Twitter/LinkedIn profile ratio of 15:1 in the data set of my personal network - Doubled Twitter coverage of my personal LinkedIn network from 17% to 36% - Tools: Python, Gephi, Flask, Twitter Bootstrap and D3.js http://insightdatascience.com/

- Delivered lectures on molecular imaging techniques to students and staff at the Department of Bioengineering, as well as medical staff in Radiology at the St. Mary's hospital in Seoul. - Established research collaboration in photoacoustic imaging with Dr. Taesok Suh, head of the Department of Bioengineering, Catholic University of Korea, Seoul, South Korea.

- Designed and delivered college tutorials for 1st, 2nd, and 3rd year engineering undergraduates at Pembroke College. - Identified and addressed individual students’ academic weaknesses. - Composed and graded termly college examinations. - Assisted in grading of university-wide final examinations in Engineering Science

- Tutored second-year thermodynamics (A5) and first-year dynamics (P3) at Jesus College. - Identified and addressed individual students’ academic weaknesses.