The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Litt are pleased to announce the Doctoral Dissertation Defense of John Bernabei.

Nicolette Driscoll

Dr. Nicki Driscoll, who recently presented her doctoral dissertation has received the Sol Pollack award for Best Ph.D. Thesis! This award is no surprise and highlights her dedication and hard work.

Dissertation Title: Building and Validating Next-Generation Neurodevices Using Novel Materials, Fabrication, and Analytic Strategies

Congratulations Nicki!

Join the EFEPA March 5 – 7, 2021 for a Carnival Weekend! There’s something for the whole family.  This annual event will be virtual this year.

Test your luck at the Friday night Online Poker Tournament. Get in the Mardi Gras spirit at the Virtual Gala & Community Showcase Saturday evening. Then, finish the weekend off at Sunday morning Bingo with a chance to win a 4-night stay in Mexico.

View full schedule here

Want to attend the Virtual Gala or participate in the Carnival activities? You can fundraise your way to a ticket. Register, ask your friends and family to support your efforts, and let the good times roll!

Or, do you just want to support or attend? You can grab your tickets, Bingo cards, 50/50 raffles or check out the silent auction HERE. 

Call for Trainee Applications: NIH Neuroengineering and Medicine T32 Training Grant

PI: Brian Litt, MD

Funding: for stipend, tuition, travel and research supplies for 1-2 years

• Predoctoral trainees: Engineering PhD students who have completed their course work
• Postdoctoral trainees: MD clinical fellows (preferably)
• Trainees must be US citizens or resident aliens (green card holders)

Goal: to train predoctoral engineering students and physician postdoctoral fellows in neuroengineering and  its clinical translation, in areas such as device development, neuro-stimulation, machine learning, algorithm development, cloud computing, nanotechnology and materials science

Applications due by Sunday, March 7th at 11:59pm

Apply through https://redcap.link/t32contactsurvery

Research proposal presentations to the T32 review panel will take place Friday March 19, 2021

More Information: https://littlab.seas.upenn.edu/education-outreach/nam-t32-training-grant/

Questions? Email Magda Wernovsky at magdaw@seas.upenn.edu

Dr. Brian Litt and his newly awarded NIH Pioneer award were highlighted in Penn Medicine News today.

Part of the High-Risk, High-Reward Research program, the Pioneer award supports scientists with outstanding records of creativity pursuing new research directions to develop pioneering approaches to major challenges in biomedical, social science, and behavioral research.

Brian Litt, MD

Read the full article from Penn Medicine News here.

Dr. Kathryn Davis and the Davis lab were highlighted in the Penn newsletter, Penn Today.

The Davis lab’s research centers around utilizing both the advancing fields of invasive neurophysiology and neuroimaging to better localize epileptic networks in medication refractory epilepsy patients.

Find the full article on Penn Today here.

The CNT has been lucky enough to work with many talented undergraduates this past Summer through the Center for Undergraduate Research and Fellowship Program.

The Fall 2020 CURF Research Expo gave all students the opportunity to showcase their projects, links to their presentations are below.

Sofia Mouchtaris – Bioengineering, class of 2023                                                                                                                                     Impact of RNS Volume Conduction at the Seizure Onset Zone

Ramya Muthukrishnan – Computer Science, class of 2022                                                                                                                     Automated Segmentation of Postoperative Epilepsy Imaging

Ellie Chen – Electrical Engineering and Computer Science, class of 2022.                                                                                         3T to Low-field MRI Scan Transformation using GANs

Kevin Mathew – Finance, Behavioral Economics and Computer Science, class of 2023

Lena Armstrong – Cognitive Science and Computer Science, class of 2023                                                                                       Machine learning of EEG to help diagnose epilepsy: predicting functional connectivity from structural connectivity

Jessica Ling – Bioengineering, class of 2023