Undergraduate Spotlights

Here are some of our extraordinary undergraduate students and alumni.

Carol Lu

Carol Lu

RA, Boston College Morality Lab

Class of 2022

Carol Lu

I am a rising third-year undergraduate student studying Cognitive Science, Psychological and Brain Sciences, and Public Health Studies. This summer, I am working with Liane Young at the Boston College Morality Lab studying prosocial behavior and decision-making with postdoctoral fellow Gordon Kraft-Todd. Our project focuses on virtue discounting in the context of economic games. We are exploring how public (vs private) displays of virtues (generosity and impartiality) affects participants’ decisions of transferring an amount of money to a partner. Additionally, we are exploring how generosity (vs impartiality) of a partner affects participants’ decisions of trusting a partner. We are hoping to launch our project soon!

For this experience, I was awarded both the Summer Plunge Grant ($2500) and the Second Decade Society Grant ($2500). Though I couldn’t be in Boston physically this year, we were lucky to make everything work remotely, and I’ve been offered the opportunity to continue working in the lab continuing this fall. I hope to submit and present at the Society for Personality and Social Psychology virtual annual conference in the spring.

In her profile photo, Carol Lu shows herself with her four-legged work-from-home buddy Hōjicha. Pictured below, a snap from Carol’s video meeting with Gordon Kraft-Todd, a postdoc in the Morality Lab.

Screenshot of postdoc Gordon Kraft-Todd in a video meeting with Carol Lu

Posted August 18, 2020

Neha Nandiwada

Neha Nandiwada

Google STEP Intern

Class of 2023

Neha Nandiwada

I am a rising third-year undergraduate studying Computer Science and Cognitive Science at Johns Hopkins. For the past year, I have had the privilege of working with Prof. Michael Bonner and Dr. Caterina Magri on human and machine texture perception research. We recently presented our early findings at the Vision Sciences Society 2021 conference, and I’m looking forward to seeing where our project goes in the future.

Thanks to Prof. Bonner and Dr. Magri’s training and mentorship, I am working at Google as a STEP (Student Training in Engineering Program) intern on the hotel search team this summer. I’m excited to apply the technical and problem-solving skills I’ve learned in the Bonner Lab to my internship!

Posted June 21, 2021

Jiayu Shao

Jiayu Shao

NIH Postbac IRTA

Class of 2021

Jiayu Shao

I graduated with a major in neuroscience at Johns Hopkins. For the past four years, I have had the privilege of researching human navigation and scene perception with Prof. Michael Bonner and Dr. Donald Li in the Department of Cognitive Science. Our work together has been presented at the Vision Sciences Society 2019 and 2020 conferences.

Thanks to Prof. Bonner and Dr. Li’s mentorship, I am now working at the National Institute of Mental Health as a Postbac IRTA (Postbaccalaureate Intramural Research Training Award) under Dr. Alex Martin and Dr. Andrew Persichetti in the Section on Cognitive Neuropsychology. Over the next two years, I will be conducting research in scene and abstract concept representation. My experiences from working in Dr. Bonner’s lab have proved invaluable in my new role at the NIH. I am truly grateful for the excellent mentorship I was able to receive during my time there.

Posted 7/9/21

Shreya Wadhwa

Shreya Wadhwa

Google STEP Intern

Class of 2023

Shreya Wadhwa

I am a rising junior majoring in Computer Science and Cognitive Science, and I have been working as a Research Assistant in the Bonner Lab since my freshman year. Specifically, I am working with Dr. Alon Hafri and Dr. Michael F. Bonner to test how changes to mid-level statistics affect object categorization abilities. One of my projects looks at the ‘Effects of perceived scale on Boundary Transformation phenomenon’ and I recently co-authored a submission regarding the same to VSS ’21 and OPAM ’20. The second project that I am currently working on aims to alter the mid-level statistics of objects and scenes, and monitor if effects on our ability to categorize them, thus giving us insights into the categorization mechanisms in the first place.

This summer, I will be working as a Google STEP (Student Training in Engineering Program) Intern on the Geo Team! Working in the lab has taught me a lot, and the interpersonal and technical skills that I have acquired have been an invaluable asset for my internship!

Posted July 6, 2021