Calendar

To view more alumni events, click here.

Jan
23
Thu
Half Day Conference: Managing Mobile Medical App Development Under FDA Regulation
Jan 23 @ 8:00 am – 12:30 pm

mobile phoneOrganized by the mHealth Regulatory Coalition and hosted by Johns Hopkins Technology Transfer and the Johns Hopkins University Global mHealth Initiative, this half day conference discuss the recently published FDA guidance on mobile medical applications and will feature prominent speakers including regulatory attorneys, regulatory affairs specialists, quality system experts, European law attorneys, experienced mHealth executives and the FDA. Topics discussed include how to develop mobile apps that come close to the FDA line, but don’t cross over, regulatory differences between the US and EU systems, premarket clearance strategies, and the FDA application classification system.

The MMA Roadshow is organized by the mHealth Regulatory Coalition and hosted by Johns Hopkins Technology Transfer and the Johns Hopkins University Global mHealth Initiative.

University/Government Code (free): MMA#0comp (ID required to confirm)

Sponsor Code (50% discount): MMA#50discount

For help registering, contact Lisa Blackburn at lblackburn@ebglaw.com. For questions about the event, call 410516-5665 or email lbroadh1@jhmi.edu

 

Mar
22
Wed
JHU Robotics Industry Day 2017
Mar 22 @ 8:00 am – 3:00 pm
JHU Robotics Industry Day 2017 @ Hackerman Hall, Johns Hopkins University - Homewood Campus | Baltimore | Maryland | United States

The Laboratory for Computational Sensing and Robotics will highlight its elite robotics students and showcase cutting-edge research projects in areas that include Medical Robotics, Extreme Environments Robotics, Human-Machine Systems for Manufacturing, BioRobotics and more. JHU Robotics Industry Day will take place from 8 a.m. to 3 p.m. in Hackerman Hall on the Homewood Campus at Johns Hopkins University.

Robotics Industry Day will provide top companies and organizations in the private and public sectors with access to the LCSR’s forward-thinking, solution-driven students. The event will also serve as an informal opportunity to explore university-industry partnerships.

You will experience dynamic presentations and discussions, observe live demonstrations, and participate in speed networking sessions that afford you the opportunity to meet Johns Hopkins most talented robotics students before they graduate.

Registration is free, but required. Register here.

Click here to view the schedule
Apr
6
Thu
ICM Distinguished Seminar Series presents “Using Modeling to Inform Critical Decisions: Three Stories of Preclinical Molecules”
Apr 6 @ 3:30 pm – 4:30 pm
ICM Distinguished Seminar Series presents "Using Modeling to Inform Critical Decisions: Three Stories of Preclinical Molecules" @ 107 Latrobe Hall

Yasmin Hashambhoy-Ramsay will present “Using Modeling to Inform Critical Decisions: Three Stories of Preclinical Molecules” on April 6 in a presentation hosted by the Institute for Computational Medicine.

Bio: Yasmin Hashambhoy-Ramsay is a computational biologist working in the biotech industry in Cambridge, Massachusetts. She was born and raised in Toronto and obtained her undergraduate degree in Applied Mathematics and Engineering at Queen’s University. A strong desire to help patients drew her to Johns Hopkins, and she is a proud alumna of the BME PhD program. She graduated from Rai Winslow’s lab and worked as a postdoctoral fellow with Feilim Mac Gabhann. As a Principal Scientist at Merrimack Pharmaceuticals, she used modeling to help advance drug development on various antibody and nanotherapeutic preclinical teams. She looks forward to starting a new position at Jounce Therapeutics in April as a Senior Bioinformatics Scientist.

Abstract: When I was a graduate student and postdoc at Johns Hopkins, I loved doing biomedical research. The thought of taking rational, engineering approaches to understand biological mechanisms really appealed to me; however, I wasn’t sure if folks in industry appreciated these approaches too. It turns out that they do, and lots of pharmaceutical companies use computational biology to inform critical decisions. Over the past five years, I have worked on a number of preclinical teams at Merrimack Pharmaceuticals. In this talk, I will share three stories describing how I used different modeling approaches to answer critical questions that helped advance the development of early stage oncology drugs.

Back to top