Categories News

Opening for research associate or undergraduate

Research description:

Stereotactic EEG (sEEG) is an electrophysiological recording modality that obtains high temporal resolution of brain tissue’s electrical activity. In addition, it can sample deep structures of the brain. SEEG-Kit (SEEK) is a set of software tools that aims to merge data modalities (T1 MRI, CT, sEEG) and sEEG time-series analysis to robustly visualize data in 3-D and 4-D. SEEK is currently used in its alpha stage at Johns Hopkins Hospital for epilepsy monitoring. We are currently looking for a research assistant to join our research group in helping further develop SEEK. If you are interested in helping build out a next-generation data-analysis and visualization tool, please get in touch with us.

What you will gain:

  • Experience contributing robust software to a research tool that is used by neuroscience and clinical teams
  • Opportunities to be included on publications that utilize software tools built by you

Research associate qualifications:

We are looking for eager and driven engineers to help build out SEEK and its different components, specifically in visualization. We are looking for undergraduates who are ready to learn and contribute to an open-source set of packages. The minimum set of requirements are:

  • Entry-level software developer skills
  • Eager to learn
  • Familiarity with data structures

Preferred qualification include:

  • Comfortable with the following technologies:
    o Git: Version control
    o NodeJS: Backend server
    o threejs: Data visualizations for the web
  • Comfortable contributing to open-source
  • Familiar with unit-testing and continuous integration testing
  • Familiarity with neuroimaging
Categories News

Rachel June Smith wins 2020 Young Investigator Award

Rachel June Smith, a postdoctoral fellow at the Institute for Computational Medicine, has been awarded a 2020 Young Investigator Award by the American Epilepsy Society for her abstract titled, “Dynamical Systems Theory Applied to Single-Pulse Electrical Stimulation Data to Infer Epileptogenic Networks.” Rachel was one of 20 young investigators selected from 1,100 submissions for outstanding achievement in basic, translational, or clinical epilepsy research.

Rachel’s research brings together computational modeling, systems theory, and epilepsy medicine. She constructs dynamic models of epileptic networks for the purposes of understanding where seizures start and spread in the brain. Her model predictions can assist neurologists in treating epilepsy patients who undergo surgery to remove epileptogenic brain tissue, thereby increasing the patient’s chances of seizure freedom after treatment.

Rachel conducts her research in the Neuromedical Control Systems Lab led by Sri Sarma, who is the Institute for Computational Medicine’s associate director and The Whiting School of Engineering’s vice dean of graduate education.

Categories News

Adam Li named ARCS scholar

Adam Li is a Ph.D. candidate in Biomedical Engineering at Johns Hopkins University with Dr. Sridevi Sarma. He obtained his undergraduate degree at University of California, San Diego (B.S’s in Bioengineering and Applied Mathematics). His research is in computational approaches to seizure onset zone localization in human epilepsy patients using intracranial EEG data applying control theory, computational modeling and machine learning.

Categories News

Rising Stars workshop puts the achievements of women researchers in the spotlight

Many scientists could advance their careers if they could just get the hang of storytelling. Impact statements that describe how their research improves peoples’ lives could help researchers secure funding, find collaborators, and share their findings with wider audiences.

“It’s not a matter of if your research will have an impact because it will,” said Harvard’s Deborah Burstein Mattingly, associate professor of radiology, health sciences, and technology. “We want you to focus on how and why your research will have an impact, and design it accordingly.”

Mattingly’s audience, a group of female scientists quickly rising in their fields, came together last month as part of the Rising Stars in Biomedical Engineering workshop held on Johns Hopkins University’s Homewood campus. Funded by several Hopkins institutes and departments and held at the Kavli Neuroscience Discovery Institute, the workshop aimed to give women the skills they need to pursue faculty positions in biomedical engineering.

While the number of women in labs and classrooms is growing, men still outnumber women when it comes to holding faculty positions in engineering disciplines. Johns Hopkins University and MIT are trying to change those statistics through programs such as the workshop, which was first held in 2016. It brings together a cohort of talented women graduate students and postdocs who represent the next generation of leadership in biomedical engineering research.

“Rising Stars began in 2012 at MIT with the mission of providing critical career development training for women in electrical engineering,” said Sri Sarma, assistant professor of biomedical engineering and associate director of the Johns Hopkins Institute for Computational Medicine. Sarma co-organized the workshop along with MIT professors Polina Golland and Martha Gray.

“We want these young rising stars to leave Hopkins empowered and excited to move onto the next phase of their careers,” she said.

Read the full story on The Hub >>