IEEE Computer Society and GBC/ACM

Speaker:  Ava Amini

Please register in advance for this seminar even if you plan to attend
in person at:

https://acm-org.zoom.us/webinar/register/WN_Msf8F_LXTcSD2mWpDeVx5A

After registering, you will receive a confirmation email containing information about joining the webinar.

Indicate on the registration form if you plan to attend in person.  This will help us determine whether the room is close to reaching capacity. We plan to serve light refreshments (probably pizza) before the talk starting at around 6:30 pm. Letting us know you will come in person will help us determine how much pizza to order.

We may make some auxiliary material such as slides and access to the recording available after the seminar to people who have registered.

Cancer is often treated using a reductionist approach: distilled to an individual subtype, mutation, or phenotype. But fundamentally, cancers are complex ecosystems that necessitate systems-level understanding and intervention. Addressing this problem is equal parts biology and computer science. In Project Ex Vivo, a joint cancer research collaboration between Microsoft Research and the Broad Institute, we are envisioning a new, constructionist paradigm for precision oncology, one powered by the bottom-up integration of computation and experimentation to understand the complexity of cell state ecosystems in cancer. In this talk I will share our recent efforts to build AI models to better define, model, and therapeutically target cell states in cancer.

Bio:  Ava Amini

Ava Amini is a Principal Researcher at Microsoft Research in Cambridge, MA. Her research focuses on developing new AI methods to understand and design biology, with the ultimate aim of realizing precision biomedicines that improve human health. She is a co-lead of Ex Vivo , a collaborative effort between Microsoft and the Broad Institute, that is focused on defining, engineering, and targeting cell states in cancer.

In addition to research, Ava is passionate about AI education and outreach — she is a lead organizer and instructor for MIT Introduction to Deep Learning , an in-person and global course on the fundamentals of deep learning.

Ava completed her PhD in Biophysics at Harvard University and the Massachusetts Institute of Technology (MIT), where she was advised by Sangeeta Bhatia at the Koch Institute for Integrative Cancer Research and supported by the NSF Graduate Research Fellowship. Ava received her Bachelor of Science in Computer Science and Molecular Biology from MIT.

Directions to 32-G449 – MIT Stata Center, 32 Vassar Street, Cambridge, MA: Please use the main entrance to the Stata Center at 32 Vassar Street (the entrance closest to Main Street) as those doors will be unlocked. Upon entering, proceed to the elevators which will be on the right after passing a large set of stairs and a MITAC kiosk. Take the elevator to the 4th floor and turn right, following the hall to an open area; 32-G449 will be on the left. Location of Stata on campus
map.

This joint meeting of the Boston Chapter of the IEEE Computer Society and GBC/ACM will be hybrid (in person and online).

Up-to-date information about this and other talks are available online at https://ewh.ieee.org/r1/boston/computer/.

You can sign up to receive updated status information about this talk and informational emails about future talks at
https://mailman.mit.edu/mailman/listinfo/ieee-cs, our self-administered mailing list.

For full course description and registration click here. 

Electromagnetic Compatibility Chapter

The IEEE EMC-S Boston Chapter is Pleased to Announce a Meeting / Technical Presentation with Special Guests and Speakers from ANSC C63®:

Hosted at:  TÜV Rheinland North America, Technology and Innovation Center

Co-Sponsored by: ETS-Lindgren and Rohde & Schwarz

Please see the attached PDF announcement with the full details, including registration link.

5 May – EMC – Announcement, Full Details, Registration

This is a unique opportunity to learn and network with members from ANSC C63.4 and contribute towards discussions which will influence future measurement methods! 

Fantastic speakers and a live demonstration within a new state-of-the-art 10 meter chamber. 

Register now to save your spot! We hope to see you there! 

Link to register: https://www.eventbrite.com/e/ieee-boston-emc-chapter-meeting-tickets-1257346399929?aff=oddtdtcreator

Date:    Monday, May 5, 2025

Time:   5:00 pm Registration/check-in, complimentary dinner and refreshments

6:00 pm Welcome from TÜV Rheinland North America and IEEE EMC Boston Chapter

6:10 pm “The History of ANSI C63.4” by Art Wall, former FCC Representative to ANSC C63

6:30 pm “Addressing Under-Testing in EMC Emissions Measurements: A Comparative Analysis of Boresighting and Linear Scanning Methods” by Zhong Chen, ETS-Lindgren

7:00 pm “Don’t Get Tilted” By Nicholas Abbondante, Intertek, Boxborough, MA

7:30 pm Live Demonstrations of Boresight and Linear Scan Methods in 10m Chamber by Bob Mitchell, TÜV Rheinland

8:15 pm Reconvene in meeting room – Q&A – Closing Comments

8:30 pm Adjourn

See presentation abstracts and speaker bios in the attached PDF.

Location: TÜV Rheinland North America, Technology and Innovation Center, 400 Beaver Brook Road, Boxborough, MA

Parking: Complimentary parking is available

Register: There is NO CHARGE to attend, but you must register in advance. All IEEE members and guests are welcome to attend.

Please register no later than April 30 in order to ensure adequate seating and catering.

Regards, Patrick DeRoy

For full course description and registration click here. 

For full course description and registration click here.