3D Shape Analysis Project

Deep Surface AI specializes in applications of 3D surface imaging in facial plastic surgery. We are looking for a quantitatively focused undergraduate student to work with our algorithm engineers on improving the models we deploy to propose surgical objectives for patients. Our AI uses a large training dataset of 3D facial scans to propose surgical objectives for patients that are both plausible and personalized. By plausible we mean that a surgical proposal (for example, the target outcome for a rhinoplasty) is surgically feasible. By personalized, we mean that a detailed model of variation in facial shape that accounts for factors like age, sex, body size, and ethnicity can be leveraged to suggest a range of surgical proposals that are well suited to each patient's unique face. The student will be charged with assisting our AI development team in developing and refining these models. Possible projects include (a) quantifying basic biological variation in facial shape in our training dataset, (b) assisting in developing methods to integrate surgical planning into the modeling framework, (c) developing strategies to ensure that a facial shape transformation to one part of the face (e.g., the chin) does not create visible discontinuities with the surrounding, unaltered parts of the face. The ideal candidate will have an understanding of engineering principals and either multivariate statistics generally or statistical shape analysis in particular. The ability to code in Python is strongly preferred. This is short-term project that is part of a long-term development objective at our company. We expect that a candidate whose work shows promise and who works well with our team will be given the opportunity for a paid summer internship, as well.

Customer Discovery Surveys

Positions available: 1 We'd like to hire a student to help us develop question sets and design surveys for customer discovery. The responses help the company identify its most likely customers and their most pressing needs. These are critical steps in developing a successful new technology. These insights will be directly related to business outcomes. The intern will work on one or, time allowing, more, of the following customer discovery survey targets: Facial plastic surgeons. Office personnel in facial plastic surgery practices who are responsible for acquiring photographic images of patients. Prospective facial plastic surgery patients.

Product Development / Customer Discovery

Positions available: 1 We’d like to hire a student to help analyze our datasets to draw helpful insights regarding how we can best solve our customers' problems. We expect the student will need two internships to complete the work required. We have recorded over 30 hours of customer discovery interviews. These interviews need to be summarized (NOT transcribed) and then synthesized with a keen eye for patterns and trends. From this analysis, we hope not only to evaluate product-market fit for our current product vision, but also to understand which existing or new features to prioritize in order to develop an application these customers will value. These are critical steps in developing a successful new technology. These insights will be directly related to business outcomes. Here are some of the topics we’d like students to explore throughout this project: Why do surgeons who use a competitor product choose one competitor over another? What features do they most value in existing products? Beyond our core technological innovations, what features can we add to increase our value proposition? Surgeon market segments. What additional avenues of inquiry need to be prioritized in future customer discovery interviews?