Advising
No personal accomplishment has brought me as much satisfaction and excitement as I have experienced as an advisor to a group of amazingly divergent, bright, and socially-minded students. It has become a personal imperative for me to find ways to support these students in their pursuit of affecting positive and inclusive change in the world. Below is some information about the students I have been lucky enough to work with over the years.
- George Varnavides – Materials Science and Engineering, BS 2016
- George is an exceptionally independent thinker and would come to me for technical advisement for projects such as deploying a phone app that could be used to take a picture of a wall to detect the stress and staring present in the architecture.
- Mark Vrablic – Electrical Engineering and Computer Science, BS 2019
- Mark and I worked on a software framework for publishing video games using the Unity game engine and Microsoft Kinect that would include natural gestures. The platform supports games that are built in HTML5 or Unity.
- Emma Vargo – Materials Science and Engineering, BS 2017
- Emma and I worked togetheron an algorithm that used an adaptive mesh search algorithm for the inverse design of photonic crystals.
- Michael Kaminsky – Electrical Engineering and Computer Science, BS 2020
- Michael and I worked on algorithms and data analysis of learning analytics data based on the platform that I had built for teaching coding in the context of specific disciplines.
- Burhan Azeem – Materials Science and Engineering, BS 2018
- Burhan and I worked on organizing and deploying educational software tools for teaching materials science concepts through computation and visualization.
- Jin Wu – Integrated Design and Management, MBA 2017
- Jin and I have been working together to develop a portable Braille display technology that would offer the full experience of reading Braille without the bulk of a traditional refreshable Braille display.
- Emma Nelson – Machanical Engineering, MS 2017
- Emma and I worked together to form a plan to franchise and grow the Assistive Technology hackathon from an MIT event to a sustainable international effort.
- Peniel Argaw – Computer Science and Engineering, MEng 2018
- Peniel, Suyash, and I worked on using machine learning to perform speech recognition for a person with severe dysarthria (speech impediment).
- Suyash Fulay – Computer Science and Engineering, MEng 2018
- Suyash, Peniel, and I worked on using machine learning to perform speech recognition for a person with severe dysarthria (speech impediment).
- Beth Hadley – Computer Science and Engineering, BS 2015
- Beth and I worked on data analysis and interface design of a software platform for engaging students in quantitative self-reflection in order to facilitate metacognition and bolster learning.
- Beth and I worked on data analysis and interface design of a software platform for engaging students in quantitative self-reflection in order to facilitate metacognition and bolster learning.