<?xml version='1.0' encoding='UTF-8'?><rss xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:geo='http://www.w3.org/2003/01/geo/wgs84_pos#' xmlns:media='http://search.yahoo.com/mrss/' version='2.0' xmlns:xCal='urn:ietf:params:xml:ns:xcal'><channel><title>Calendar - Mission Hall</title><link>https://calendar.ucsf.edu/mission_hall_948/calendar</link><description>Calendar - Mission Hall</description><lastBuildDate>Fri, 11 Sep 2026 06:15:16 -0700</lastBuildDate><ttl>60</ttl><language>en-us</language><generator>Localist</generator><item><title>Sep 14, 2026: Computational Cancer Community (C3) Monthly Meeting at Mission Hall</title><description><![CDATA[<p>Join the UCSF Computational Cancer Community (C3) for a monthly presentation and discussion.</p>

<p>Speaker:
<br>Stathis Gennatas, MBBS AICSM PhD
<br>Associate Professor, Bioinformatics
<br>Department of Epidemiology &amp; Biostatistics
<br>Co-Director, UCSF Scientific Software Core
<br> 
<br>Presentation:
<br>Science-Grade Software: Validated, Observable, Auditable, Reproducible Pipelines for Human × AI Collaboration
<br> 
<br>Science depends on software, but how much of it was designed to rigorous scientific standards? This talk will begin with a discussion of the core principles that define what we are calling "science-grade software". It will then provide an overview and demonstration of the rtemis ecosystem, a schema-driven, multi-interface framework designed to (a) build validated, observable, auditable, and reproducible pipelines and (b) make advanced AI/ML and visualization accessible to scientists, clinicians, and statisticians.</p>

<p>------------</p>

<p>This a recurring monthly meeting focused on cancer genomics and computational cancer biology and oncology. It provides a forum for UCSF labs to share largely unpublished work and to get feedback and input.</p>

<p>C3 Faculty Leadership: Joe Costello, Hani Goodarzi, Franklin Huang, Karin Pelka, David Quigley, Adam Olshen</p>

<p>For more information, please email <a href="mailto:edna.rodas@ucsf.edu">edna.rodas@ucsf.edu</a></p>

<p><a href="https://calendar.ucsf.edu/event/computational-cancer-community-c3-monthly-meeting-8007">View on site</a> | <a href="mailto:?subject=I+found+an+interesting+event%3A+Computational+Cancer+Community+%28C3%29+Monthly+Meeting&amp;body=I+found+an+interesting+event+you+may+like%3A%0A%0A%0ADate%3A+Sep+14%2C+2026%0A%0ADescription%3A%0AJoin+the+UCSF+Computational+Cancer+Community+%28C3%29+for+a+monthly+presentation+and+discussion.%0A%0ASpeaker%3A%0AStathis+Gennatas%2C+MBBS+AICSM+PhD%0AAssociate+Professor%2C+Bioinformatics%0ADepartment+of+Epidemiology+%26+Biostatistics%0ACo-Director%2C+UCSF+Scientific+Software+Core%0A+%0APresentation%3A%0AScience-Grade+Software%3A+Validated%2C+Observable%2C+Auditable%2C+Reproducible+Pipelines+for+Human+%C3%97+AI+Collaboration%0A+%0AScience+depends+on+software%2C+but+how+much+of+it+was+designed+to+rigorous+scientific+standards%3F+This+talk+will+begin+with+a+discussion+of+the+core+principles+that+define+what+we+are+calling+%22science-grade+software%22.+It+will+then+provide+an+overview+and+demonstration+of+the+rtemis+ecosystem%2C+a+schema-driven%2C+multi-interface+framework+designed+to+%28a%29+build+validated%2C+observable%2C+auditable%2C+and+reproducible+pipelines+and+%28b%29+make+advanced+AI%2FML+and+visualization+accessible+to+scientists%2C+clinicians%2C+and+statisticians.%0A%0A------------%0A%0AThis+a+recurring+monthly+meeting+focused+on+cancer+genomics+and+computational+cancer+biology+and+oncology.+It+provides+a+forum+for+UCSF+labs+to+share+largely+unpublished+work+and+to+get+feedback+and+input.%0A%0AC3+Faculty+Leadership%3A+Joe+Costello%2C+Hani+Goodarzi%2C+Franklin+Huang%2C+Karin+Pelka%2C+David+Quigley%2C+Adam+Olshen%0A%0AFor+more+information%2C+please+email+edna.rodas%40ucsf.edu%0A%0Ahttps%3A%2F%2Fcalendar.ucsf.edu%2Fevent%2Fcomputational-cancer-community-c3-monthly-meeting-8007%0A">Email this event</a></p>]]></description><guid isPermaLink='false'>tag:localist.com,2008:EventInstance_53862357294820</guid><geo:lat>37.767398</geo:lat><geo:long>-122.390828</geo:long><pubDate>Mon, 14 Sep 2026 10:00:00 -0700</pubDate><dc:date>2026-09-14T10:00:00-07:00</dc:date><link>https://calendar.ucsf.edu/event/computational-cancer-community-c3-monthly-meeting-8007</link><media:content medium='image' url='https://localist-images.azureedge.net/photos/53862357350118/huge/f2687139f54d59529f8e33a3d143daf7e220418d.jpg'/><category>Research &amp; Academia</category></item><item><title>Oct 3, 2026: UCSF Neurofibromatosis Family Day 2026 at Mission Hall</title><description><![CDATA[<p>Join us at the annual UCSF Neurofibromatosis Family Day! This free event is designed for people with NF and their caregivers to learn more about these genetic conditions, connect with other families, and discover resources available. The event includes free parking, childcare, and lunch. We will also have multiple speakers from UCSF and Stanford.</p>

<p>Please RSVP by September 20.</p>

<p><a href="https://calendar.ucsf.edu/event/ucsf-neurofibromatosis-family-day-2026">View on site</a> | <a href="mailto:?subject=I+found+an+interesting+event%3A+UCSF+Neurofibromatosis+Family+Day+2026&amp;body=I+found+an+interesting+event+you+may+like%3A%0A%0A%0ADate%3A+Oct+3%2C+2026%0A%0ADescription%3A%0AJoin+us+at+the+annual+UCSF+Neurofibromatosis+Family+Day%21+This+free+event+is+designed+for+people+with+NF+and+their+caregivers+to+learn+more+about+these+genetic+conditions%2C+connect+with+other+families%2C+and+discover+resources+available.+The+event+includes+free+parking%2C+childcare%2C+and+lunch.+We+will+also+have+multiple+speakers+from+UCSF+and+Stanford.%0A%0APlease+RSVP+by+September+20.%0A%0Ahttps%3A%2F%2Fcalendar.ucsf.edu%2Fevent%2Fucsf-neurofibromatosis-family-day-2026%0A">Email this event</a></p>]]></description><guid isPermaLink='false'>tag:localist.com,2008:EventInstance_53861568207780</guid><geo:lat>37.767398</geo:lat><geo:long>-122.390828</geo:long><pubDate>Sat, 03 Oct 2026 09:00:00 -0700</pubDate><dc:date>2026-10-03T09:00:00-07:00</dc:date><link>https://calendar.ucsf.edu/event/ucsf-neurofibromatosis-family-day-2026</link><media:content medium='image' url='https://localist-images.azureedge.net/photos/53861568243631/huge/b09892e3ff96d99f58b0577fa99cf128b699f5dc.jpg'/><category>Advocacy &amp; Fundraising</category></item><item><title>Oct 6, 2026: BCHSI Career Panel  at Mission Hall</title><description><![CDATA[<p>Tuesday, October 6, 2026
<br>3pm - 4pm Panel + followed by 4 - 5pm Networking with Light Reception!
<br>Where: Mission Hall 1400﻿
<br>﻿Come and hear about the various career paths available across the fields of biomedicine and computation. A networking reception will follow the session.</p>

<p>Karthik Soman, PhD, Lead AI Ops Architect at SAPTravis Zach, MD, PhD, Chief Medical Officer, OpenEvidence, Assistant Adjunct Professor, UCSFIndia Hook-Barnard, PhD, Chief Executive Officer of the Engineering Biology Research Consortium (EBRC)Jake Glanville, PhD, Chief Executive Officer and President, Centivax
<br>See Flyer</p>

<p><a href="https://calendar.ucsf.edu/event/bchsi-career-panel-237">View on site</a> | <a href="mailto:?subject=I+found+an+interesting+event%3A+BCHSI+Career+Panel+&amp;body=I+found+an+interesting+event+you+may+like%3A%0A%0A%0ADate%3A+Oct+6%2C+2026%0A%0ADescription%3A%0ATuesday%2C+October+6%2C+2026%0A3pm+-+4pm+Panel+%2B+followed+by+4+-+5pm+Networking+with+Light+Reception%21%0AWhere%3A+Mission+Hall+1400%EF%BB%BF%0A%EF%BB%BFCome+and+hear+about+the+various+career+paths+available+across+the+fields+of+biomedicine+and+computation.+A+networking+reception+will+follow+the+session.%0A%0AKarthik+Soman%2C+PhD%2C+Lead+AI+Ops+Architect+at+SAPTravis+Zach%2C+MD%2C+PhD%2C+Chief+Medical+Officer%2C+OpenEvidence%2C+Assistant+Adjunct+Professor%2C+UCSFIndia+Hook-Barnard%2C+PhD%2C+Chief+Executive+Officer+of+the+Engineering+Biology+Research+Consortium+%28EBRC%29Jake+Glanville%2C+PhD%2C+Chief+Executive+Officer+and+President%2C+Centivax%0ASee+Flyer%0A%0Ahttps%3A%2F%2Fcalendar.ucsf.edu%2Fevent%2Fbchsi-career-panel-237%0A">Email this event</a></p>]]></description><guid isPermaLink='false'>tag:localist.com,2008:EventInstance_53946260462527</guid><geo:lat>37.767398</geo:lat><geo:long>-122.390828</geo:long><pubDate>Tue, 06 Oct 2026 15:00:00 -0700</pubDate><dc:date>2026-10-06T15:00:00-07:00</dc:date><link>https://calendar.ucsf.edu/event/bchsi-career-panel-237</link><media:content medium='image' url='https://localist-images.azureedge.net/photos/53946275826082/huge/4125969b1f2ddde41b3af57e0c743f857c16e8a5.jpg'/><category>Professional Development</category><category>Research &amp; Academia</category></item><item><title>Oct 21, 2026: Unsung Trailblazers Panel at Mission Hall</title><description><![CDATA[<p>In celebration of Filipinx History Month, the United Filipinx Association (UFA) at UCSF and Multicultural Resource Center (MRC) invites you to our Unsung Trailblazers: A Filipinx Community Panel that will feature guest speakers* making tremendous strides in advancing health and wellbeing across the Bay Area and the greater Filipinx / Filipinx-American community. Through personal reflections and conversation, panelists will explore the people who paved the way, the challenges and opportunities they encountered, and the ways Filipinx individuals continue to create change across generations.</p>

<p>This panel will be held in-person and online, but we encourage attendees to come in person to network, build community, enjoy free light refreshments, and more! </p>

<p>*Guest Speakers: UCSF endeavors to create greater understanding and supports the exchange of diverse ideas. Views and opinions of guest speakers on campus are their own and may not reflect the perspective of the University.RSVP: Please register by October 14, 2026 12pm PST: tiny.ucsf.edu/UFAOct2026</p>

<p><a href="https://calendar.ucsf.edu/event/unsung-trailblazers-panel">View on site</a> | <a href="mailto:?subject=I+found+an+interesting+event%3A+Unsung+Trailblazers+Panel&amp;body=I+found+an+interesting+event+you+may+like%3A%0A%0A%0ADate%3A+Oct+21%2C+2026%0A%0ADescription%3A%0AIn+celebration+of+Filipinx+History+Month%2C+the+United+Filipinx+Association+%28UFA%29+at+UCSF+and+Multicultural+Resource+Center+%28MRC%29+invites+you+to+our+Unsung+Trailblazers%3A+A+Filipinx+Community+Panel+that+will+feature+guest+speakers%2A+making+tremendous+strides+in+advancing+health+and+wellbeing+across+the+Bay+Area+and+the+greater+Filipinx+%2F+Filipinx-American+community.+Through+personal+reflections+and+conversation%2C+panelists+will+explore+the+people+who+paved+the+way%2C+the+challenges+and+opportunities+they+encountered%2C+and+the+ways+Filipinx+individuals+continue+to+create+change+across+generations.%0A%0AThis+panel+will+be+held+in-person+and+online%2C+but+we+encourage+attendees+to+come+in+person+to+network%2C+build+community%2C+enjoy+free+light+refreshments%2C+and+more%21+%0A%0A%2AGuest+Speakers%3A+UCSF+endeavors+to+create+greater+understanding+and+supports+the+exchange+of+diverse+ideas.+Views+and+opinions+of+guest+speakers+on+campus+are+their+own+and+may+not+reflect+the+perspective+of+the+University.RSVP%3A+Please+register+by+October+14%2C+2026+12pm+PST%3A+tiny.ucsf.edu%2FUFAOct2026%0A%0Ahttps%3A%2F%2Fcalendar.ucsf.edu%2Fevent%2Funsung-trailblazers-panel%0A">Email this event</a></p>]]></description><guid isPermaLink='false'>tag:localist.com,2008:EventInstance_53808161781900</guid><geo:lat>37.767398</geo:lat><geo:long>-122.390828</geo:long><pubDate>Wed, 21 Oct 2026 12:00:00 -0700</pubDate><dc:date>2026-10-21T12:00:00-07:00</dc:date><link>https://calendar.ucsf.edu/event/unsung-trailblazers-panel</link><media:content medium='image' url='https://localist-images.azureedge.net/photos/53861443933534/huge/ca8734bc2c15fa3333b7488deea2f53536e62a42.jpg'/><category>Awards &amp; Celebrations</category><category>Fun &amp; Recreation</category><category>Professional Development</category></item><item><title>Dec 8, 2026: Detecting adaptive and ghost introgression in human populations using machine learning approaches at Mission Hall</title><description><![CDATA[<p>It is now widely recognized that introgression from archaic humans left a lasting impact on the modern human genome, yet many questions remain unanswered regarding how introgressed variants contributed to adaptation and whether additional, unsampled archaic hominins also contributed to the modern human gene pool. In this talk, I will present recent works from my lab to study both adaptive and ghost introgression in humans. First, I will discuss a work on adaptive introgression in modern Peruvian populations. We developed a multi-layered validation framework and identified 20 high confidence adaptive introgression candidates inherited from both Neanderthals and Denisovans. Reconstruction of selection history revealed at least two temporally distinct waves of adaptive introgression, one overlapping with the peopling of the Americas and another occurring around the Andean agricultural transition. Candidate loci were enriched in pathways related to immune signaling, hypoxia, and lipid metabolism, with CXCR4 emerging as a compelling candidate of recent immune-related adaptive introgression. In the second half of the talk, I will present a scalable machine learning framework for detecting “ghost” or super-archaic introgression. Instead of explicitly reconstructing genealogies, our approach leverages statistical proxies of local coalescence and neural network models to distinguish ghost introgression from alternative demographic processes. Application of this framework to Oceanian and Tibetan genomes revealed widespread shared signals of deep archaic ancestry, including enrichment near the HLA locus and suggestive signals overlapping the EPAS1 gene.</p>

<p><a href="https://calendar.ucsf.edu/event/detecting-adaptive-and-ghost-introgression-in-human-populations-using-machine-learning-approaches">View on site</a> | <a href="mailto:?subject=I+found+an+interesting+event%3A+Detecting+adaptive+and+ghost+introgression+in+human+populations+using+machine+learning+approaches&amp;body=I+found+an+interesting+event+you+may+like%3A%0A%0A%0ADate%3A+Dec+8%2C+2026%0A%0ADescription%3A%0AIt+is+now+widely+recognized+that+introgression+from+archaic+humans+left+a+lasting+impact+on+the+modern+human+genome%2C+yet+many+questions+remain+unanswered+regarding+how+introgressed+variants+contributed+to+adaptation+and+whether+additional%2C+unsampled+archaic+hominins+also+contributed+to+the+modern+human+gene+pool.+In+this+talk%2C+I+will+present+recent+works+from+my+lab+to+study+both+adaptive+and+ghost+introgression+in+humans.+First%2C+I+will+discuss+a+work+on+adaptive+introgression+in+modern+Peruvian+populations.+We+developed+a+multi-layered+validation+framework+and+identified+20+high+confidence+adaptive+introgression+candidates+inherited+from+both+Neanderthals+and+Denisovans.+Reconstruction+of+selection+history+revealed+at+least+two+temporally+distinct+waves+of+adaptive+introgression%2C+one+overlapping+with+the+peopling+of+the+Americas+and+another+occurring+around+the+Andean+agricultural+transition.+Candidate+loci+were+enriched+in+pathways+related+to+immune+signaling%2C+hypoxia%2C+and+lipid+metabolism%2C+with+CXCR4+emerging+as+a+compelling+candidate+of+recent+immune-related+adaptive+introgression.+In+the+second+half+of+the+talk%2C+I+will+present+a+scalable+machine+learning+framework+for+detecting+%E2%80%9Cghost%E2%80%9D+or+super-archaic+introgression.+Instead+of+explicitly+reconstructing+genealogies%2C+our+approach+leverages+statistical+proxies+of+local+coalescence+and+neural+network+models+to+distinguish+ghost+introgression+from+alternative+demographic+processes.+Application+of+this+framework+to+Oceanian+and+Tibetan+genomes+revealed+widespread+shared+signals+of+deep+archaic+ancestry%2C+including+enrichment+near+the+HLA+locus+and+suggestive+signals+overlapping+the+EPAS1+gene.%0A%0Ahttps%3A%2F%2Fcalendar.ucsf.edu%2Fevent%2Fdetecting-adaptive-and-ghost-introgression-in-human-populations-using-machine-learning-approaches%0A">Email this event</a></p>]]></description><guid isPermaLink='false'>tag:localist.com,2008:EventInstance_53727270067967</guid><geo:lat>37.767398</geo:lat><geo:long>-122.390828</geo:long><pubDate>Tue, 08 Dec 2026 10:00:00 -0800</pubDate><dc:date>2026-12-08T10:00:00-08:00</dc:date><link>https://calendar.ucsf.edu/event/detecting-adaptive-and-ghost-introgression-in-human-populations-using-machine-learning-approaches</link><media:content medium='image' url='https://localist-images.azureedge.net/photos/53727270108940/huge/cf9a2c45714fc9bdb9bb8e68909293003cb7d3ff.jpg'/><category>Research &amp; Academia</category></item></channel></rss>