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X-WR-CALNAME:Models\, Inference & Algorithms (MIA) Meeting
X-WR-TIMEZONE:Eastern Time (US & Canada)
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DTSTAMP:20260516T121354Z
UID:tag:localist.com\,2008:EventInstance_48986999016849
DTSTART:20250402T130000Z
DTEND:20250402T160000Z
DESCRIPTION:Join us on Wednesday\, April 2 for our MIA meeting featuring Go
 kcen Eraslan and Surag Nair (ReLU\, BRAID\, Genentech)!\n\n \n\n📅 April
  2\n\n💬 Gokcen Eraslan\n\n🏫 ReLU\, BRAID\, Genentech\n\n💡 A prime
 r on DNA foundation modeling\n\n \n\n💬 Surag Nair\n\n🏫 ReLU\, BRAID\
 , Genentech\n\n💡 Nona\, a novel multimodal masked modeling framework fo
 r functional genomics\n\n \n\nHosted by the Eric and Wendy Schmidt Center\
 , the MIA Initiative (Models\, Inference & Algorithms) supports learning a
 nd collaboration across the interface of biology and medicine with mathema
 tics\, statistics\, machine learning\, and computer science. We bring toge
 ther scientists on Wednesdays in Acadia (Broad Institute – 75 Ames St.\,
  M1) and virtually. A primer with breakfast starts at 9:00 am\, followed b
 y a seminar and discussion at 10:00 am and 10:50 am\, respectively.\n\n \n
 \n💌 Join our mailing list: bit.ly/MIACast \n\n🧑‍🏫 Read the abst
 racts: broad.io/MIA \n\n📺 Watch previous talks: broad.io/MIAPlaylist\n\
 n❓ Ask questions: mia-team@broadinstitute.org \n\n \n\n***\n\n \n\n🌸 
 Spring 2025 Schedule 🌸\n\n \n\n📅 February 12\n\n💬 Aleksandra Walc
 zak\n\n🏫 CNRS European Nuclear Society (ENS)\n\n💡 Immune repertoires
 : specificity and dynamics\n\n📺 Watch recorded talk\n\n \n\n💬 Andrea
  Mazzolini\n\n🏫 Laboratoire de Physique de l'École Normale Supérieure
  (LPENS)\n\n💡 Extracting dynamical properties of the immune repertoire 
 from noisy sequencing data\n\n📺 Watch recorded talk\n\n \n\n📅 Februa
 ry 26\n\n💬 Rob Patro\n\n🏫 University of Maryland\n\n💡 Counting is
  not easy: Assessing and quantifying uncertainty in abundance inferences f
 rom high-throughput sequencing data\n\n📺 Watch recorded talk\n\n \n\n
 💬 Noor Pratap Singh\n\n🏫 University of Maryland\n\n💡 Uncertainty-
 aware analysis of RNA-Seq data using a tree-based framework\n\n📺 Watch 
 recorded talk\n\n \n\n📅 March 5 - Flash talks \n\n📺 Watch recorded t
 alks\n\n \n\n9:00 am\n\n \n\n💬 Isabella Boyle\n\n🏫 Cancer Data Scien
 ce\, Broad Institute\n\n💡 GeneTEA: gene-term enrichment with natural la
 nguage processing\n\n \n\n💬 Francesca Rissom\n\n🏫 Iqbal Lab | Ladder
 s 2 Cures Accelerator\, Broad Institute\n\n💡 Comparing protein language
  models through embedding space comparison\n\n \n\n💬 Viki Schuster\n\n
 🏫 Eric and Wendy Schmidt Center\, Broad Institute\n\n💡 Interpreting 
 gene expression models with sparse autoencoders\n\n \n\n10:00 am\n\n \n\n
 💬 Phillip Nicol\n\n🏫 Irizarry Lab\, Harvard School of Public Health\
 n\n💡 Identifying spatially variable genes by projecting to morphologica
 lly relevant coordinates\n\n \n\n💬 Uthsav Chitra\n\n🏫 Eric and Wendy
  Schmidt Center\, Broad Institute\n\n💡 Mapping the topography of spatia
 l gene expression with interpretable deep learning\n\n \n\n💬 Baris Ekim
 \n\n🏫 Berger Lab\, MIT and Popic Lab\, Broad Institute\n\n💡 Minimize
 r-space computation in genomics\n\n \n\n📅 March 12\n\n💬 Rishwanth Ra
 ghu\n\n🏫 Princeton University\n\n💡 Heterogeneous reconstruction in c
 ryo-EM\n\n \n\n💬 Ellen Zhong\n\n🏫 Princeton University\n\n💡 Machi
 ne learning for visualizing structural landscapes inside the cell\n\n \n\n
 📅 March 19\n\n💬 Andrew White\n\n🏫 FutureHouse\, University of Roc
 hester\n💡 A progress report on the automation of science\n\n\n💬 Sam 
 Cox\n🏫 FutureHouse\, University of Rochester\n💡 Automating chemistry
  with LLM-based agents\n\n \n\n📅 April 2\n\n💬 Gokcen Eraslan\n\n🏫
  ReLU\, BRAID\, Genentech\n\n💡 A primer on DNA foundation modeling\n\n 
 \n\n💬 Surag Nair\n\n🏫 ReLU\, BRAID\, Genentech\n\n💡 Nona\, a nove
 l multimodal masked modeling framework for functional genomics\n\n \n\n
 📅 April 9\n\n💬 Alexandru Dumitrescu\, Dani Korpela\n\n🏫 Aalto Uni
 versity\n\n💡 Diffusion for molecule generation\n\n \n\n💬 Harri Lähd
 esmäki\n\n🏫 Aalto University\n\n💡 Structured variational autoencode
 rs for prediction and optimization\n\n \n\n📅 May 14\n\n💬 Ophelia Ven
 turelli\n\n🏫 Duke University\n\n💡 TBD\n\n \n\n📅 May 21\n\n💬 Va
 lentin De Bortoli\n\n🏫 Google DeepMind\n\n💡 Diffusion models\, Schro
 dinger bridges and applications in bio\n\n \n\n📅 May 28\n\n💬 Faisal 
 Mahmood\n\n🏫 Harvard Division of Medical Sciences\n\n💡 TBD\n\n \n\n*
 *If you do not have a Broad badge\, please arrive at the 75 Ames St. entra
 nce 10 minutes early with an ID to check in with security. We will escort 
 folks up at 8:55 am and 9:55 am\; please email mia-team@broadinstitute.org
  if you arrive outside of these times.
GEO:42.363541;-71.08844
LOCATION:Broad Institute\, Acadia (M1)
SUMMARY:Models\, Inference & Algorithms (MIA) Meeting
URL;VALUE=URI:https://events.broadinstitute.org/event/models-inference-algo
 rithms-mia-meeting-2-2461
CATEGORIES:Talks
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