BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250929T014229Z UID:77F2B73F-7E05-4608-89CB-97EA2002D539 DTSTART;TZID=America/New_York:20250925T190000 DTEND;TZID=America/New_York:20250925T190300 DESCRIPTION:Boston Chapter of IEEE Computer Society and GBC/ACM\n\n7:00 PM\ , Thursday\, 25 September 2025\nMIT Room 32-G449 (Kiva) and online via Zoo m\nLearning\, engineering\, and targeting cell states in cancer\n\nAva Ami ni\n\nPlease register in advance for this seminar even if you plan to atte nd in person at\n\nhttps://acm-org.zoom.us/webinar/register/WN_Msf8F_LXTcS D2mWpDeVx5A\n\nAfter registering\, you will receive a confirmation email c ontaining information about joining the webinar.\n\nIndicate on the regist ration form if you plan to attend in person. This will help us determine w hether the room is close to reaching capacity. We plan to serve light refr eshments (probably pizza) before the talk starting at around 6:30 pm. Lett ing us know you will come in person will help us determine how much pizza to order.\n\nWe may make some auxiliary material such as slides and access to the recording available after the seminar to people who have registere d.\nAbstract:\nCancer is often treated using a reductionist approach: dist illed to an individual subtype\, mutation\, or phenotype. But fundamentall y\, cancers are complex ecosystems that necessitate systems-level understa nding and intervention. Addressing this problem is equal parts biology and computer science. In Project Ex Vivo\, a joint cancer research collaborat ion between Microsoft Research and the Broad Institute\, we are envisionin g a new\, constructionist paradigm for precision oncology\, one powered by the bottom-up integration of computation and experimentation to understan d the complexity of cell state ecosystems in cancer. In this talk I will s hare our recent efforts to build AI models to better define\, model\, and therapeutically target cell states in cancer.\n\nBio:\n\nAva Amini is a Pr incipal Researcher at Microsoft Research in Cambridge\, MA. Her research f ocuses on developing new AI methods to understand and design biology\, wit h the ultimate aim of realizing precision biomedicines that improve human health. She is a co-lead of [Ex Vivo](https://www.microsoft.com/en-us/rese arch/project/project-ex-vivo/)\, a collaborative effort between Microsoft and the Broad Institute\, that is focused on defining\, engineering\, and targeting cell states in cancer.\n\nIn addition to research\, Ava is passi onate about AI education and outreach — she is a lead organizer and inst ructor for [MIT Introduction to Deep Learning](https://introtodeeplearning .com/)\, an in-person and global course on the fundamentals of deep learni ng.\n\nAva completed her PhD in Biophysics at Harvard University and the M assachusetts Institute of Technology (MIT)\, where she was advised by Sang eeta Bhatia at the Koch Institute for Integrative Cancer Research and supp orted by the NSF Graduate Research Fellowship. Ava received her Bachelor o f Science in Computer Science and Molecular Biology from MIT.\n\nDirection s to 32-G449 - MIT Stata Center\, 32 Vassar Street\, Cambridge\, MA: Pleas e use the main entrance to the Stata Center at 32 Vassar Street (the entra nce 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 lar ge 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](https://whereis.mit.edu/?go=32)\n\ nThis joint meeting of the Boston Chapter of the IEEE Computer Society and GBC/ACM will be hybrid (in person and online).\n\nUp-to-date information about this and other talks is available online at https://ewh.ieee.org/r1/ boston/computer/. You can sign up to receive updated status information ab out this talk and informational emails about future talks at https://mailm an.mit.edu/mailman/listinfo/ieee-cs\, our self-administered mailing list.\ n\nCo-sponsored by: GBC/ACM & R9-GAC\n\nSpeaker(s): Ava Amini\, \n\nRoom: MIT Room 32-G449 (Kiva\, Bldg: Stata Center\, MIT building 32\, 32 Vassar St\, Cambridge\, Massachusetts\, United States\, 02139\, Virtual: https:// events.vtools.ieee.org/m/479356 LOCATION:Room: MIT Room 32-G449 (Kiva\, Bldg: Stata Center\, MIT building 3 2\, 32 Vassar St\, Cambridge\, Massachusetts\, United States\, 02139\, Vir tual: https://events.vtools.ieee.org/m/479356 ORGANIZER:p.mager@computer.org SEQUENCE:47 SUMMARY:Learning\, engineering\, and targeting cell states in cancer URL;VALUE=URI:https://events.vtools.ieee.org/m/479356 X-ALT-DESC:Description: <br /><blockquote>\n<h2>Boston Chapter of IEEE Comp uter Society and GBC/ACM</h2>\n<h4>7:00 PM\, Thursday\, 25 September 2025< /h4>\nMIT Room 32-G449 (Kiva) and online via Zoom\n<h4>Learning\, engineer ing\, and targeting cell states in cancer</h4>\n<h4>Ava Amini</h4>\n</bloc kquote>\n<blockquote>\n<h4>Please register in advance for this seminar eve n if you plan to attend in person at</h4>\n<p><a href="https://acm-org.zoo m.us/webinar/register/WN_Msf8F_LXTcSD2mWpDeVx5A">https://acm-org.zoom.us/w ebinar/register/WN_Msf8F_LXTcSD2mWpDeVx5A</a></p>\n<p>After registering\, you will receive a confirmation email containing information about joining the webinar.</p>\n<p>Indicate on the registration form if you plan to att end in person. This will help us determine whether the room is close to re aching capacity. We plan to serve light refreshments (probably pizza) befo re the talk starting at around 6:30 pm. Letting us know you will come in p erson will help us determine how much pizza to order.</p>\n<p>We may make some auxiliary material such as slides and access to the recording availab le after the seminar to people who have registered.</p>\nAbstract:\n<p>Can cer is often treated using a reductionist approach: distilled to an indivi dual subtype\, mutation\, or phenotype. But fundamentally\, cancers are co mplex ecosystems that necessitate systems-level understanding and interven tion. Addressing this problem is equal parts biology and computer science. In Project Ex Vivo\, a joint cancer research collaboration between Micros oft Research and the Broad Institute\, we are envisioning a new\, construc tionist paradigm for precision oncology\, one powered by the bottom-up int egration of computation and experimentation to understand the complexity o f cell state ecosystems in cancer. In this talk I will share our recent ef forts to build AI models to better define\, model\, and therapeutically ta rget cell states in cancer.</p>\n<p>Bio:</p>\n<p>Ava Amini is a Principal Researcher at Microsoft Research in Cambridge\, MA. Her research focuses o n developing new AI methods to understand and design biology\, with the ul timate aim of realizing precision biomedicines that improve human health. She is a co-lead of&nbsp\;<a href="https://www.microsoft.com/en-us/researc h/project/project-ex-vivo/">Ex Vivo&nbsp\;</a>\, a collaborative effort be tween Microsoft and the Broad Institute\, that is focused on defining\, en gineering\, and targeting cell states in cancer.</p>\n<p>In addition to re search\, Ava is passionate about AI education and outreach &mdash\; she is a lead organizer and instructor for&nbsp\;<a href="https://introtodeeplea rning.com/">MIT Introduction to Deep Learning&nbsp\;</a>\, an in-person an d global course on the fundamentals of deep learning.</p>\n<p>Ava complete d her PhD in Biophysics at Harvard University and the Massachusetts Instit ute of Technology (MIT)\, where she was advised by Sangeeta Bhatia at the Koch Institute for Integrative Cancer Research and supported by the NSF Gr aduate Research Fellowship. Ava received her Bachelor of Science in Comput er Science and Molecular Biology from MIT.</p>\n<p>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 stai rs 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.&nbsp\;<a href="https://whereis.mit.edu/?go=32">Location of Stata on campus map</a> </p>\n<p>&nbsp\;</p>\n<p class="norm10">This joint meeting of the Boston C hapter of the IEEE Computer Society and GBC/ACM will be hybrid (in person and online).</p>\n<p>Up-to-date information about this and other talks is available online at https://ewh.ieee.org/r1/boston/computer/. You can sign up to receive updated status information about this talk and informationa l emails about future talks at https://mailman.mit.edu/mailman/listinfo/ie ee-cs\, our self-administered mailing list.</p>\n</blockquote> END:VEVENT END:VCALENDAR