David D
- Research Program Mentor
PhD candidate at Tufts University
Expertise
Cognitive neuroscience, psychology, biomedical engineering, electical & computer engineering, machine learning
Bio
I have over 3 years of working in industry as an engineer (both hardware and software) and nearly 6 years working in academia. As a Sr. Research Coordinator, I train and mentor undergraduates in my lab on data collection and data analysis of EEG signals to help answer specific research questions pertinent to the fields of psychology and neuroscience. As a graduate student, I consistently serve as a teaching assistant to undergraduates for a variety of courses, offering instruction and help in both 1-on-1 and group sessions. My academic passion is identifying the strengths and curiosities in my mentees and helping to foster their growth through focused guidance and feedback. Some of my hobbies are reading, crafting, archery, and laser engraving! I'm also passionate about learning about the intersection of religion and politics throughout world history and exploring diverse cultural beliefs on spirituality. I would someday like to have my own garden and create a self-sustaining, eco-friendly, smart home for my future family.Project ideas
Research Review Paper: Brainwaves and Behavior - How certain states of mind are studied through patterns of brain activity
In this project, the mentee will pick one of many functions of the human brain that they are interested in (e.g. attention, meditation, emotion, listening to music, etc.) and explore some of the scientific literature on the topic. The mentee will produce a literature review that encapsulates as much as they are they are interested in, but must cover several brain imaging techniques such as EEG and fMRI. The mentor will provide educational resources for the mentee to further learn about these technologies. Finally, the mentee will turn their literature review into a polished paper (5-10 pages) that reviews the current status on the science exploring their topic.
Open-Source Brainwave Data Analysis
The mentee will be guided in executing an entry-level data analysis on a freely-available, open-source dataset of brainwave (EEG) activity. The first half of this project will allow the mentee to familiarize themselves with the online tools by learning through tutorials if necessary, and then applying relevant analytical approaches to a chosen dataset. The second half of this project will consist of the mentee documenting their project, summarizing their scientific observations and results, and generating meaningful figures that visualize the data.