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X-WR-CALNAME:Models\, Inference & Algorithms (MIA) Meeting
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260516T121556Z
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DTSTART:20250409T130000Z
DTEND:20250409T160000Z
DESCRIPTION:Join us on Wednesday\, April 9 for our MIA meeting featuring Ha
 rri Lähdesmäki\, Alexandru Dumitrescu\, and Dani Korpela (Aalto Universi
 ty)!\n\n \n\n📅 April 9\n\n💬 Alexandru Dumitrescu\, Dani Korpela\n\n
 🏫 Aalto University\n\n💡 Diffusion for molecule generation\n\n \n\n
 💬 Harri Lähdesmäki\n\n🏫 Aalto University\n\n💡 Structured variat
 ional autoencoders for prediction and optimization\n\n \n\nHosted by the E
 ric and Wendy Schmidt Center\, the MIA Initiative (Models\, Inference & Al
 gorithms) supports learning and collaboration across the interface of biol
 ogy and medicine with mathematics\, statistics\, machine learning\, and co
 mputer science. We bring together scientists on Wednesdays in Acadia (Broa
 d Institute – 75 Ames St.\, M1) and virtually. A primer with breakfast s
 tarts at 9:00 am\, followed by 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 abstracts: broad.io/MIA \n\n📺 Watch previous t
 alks: broad.io/MIAPlaylist\n\n❓ Ask questions: mia-team@broadinstitute.o
 rg \n\n \n\n***\n\n \n\n🌸 Spring 2025 Schedule 🌸\n\n \n\n📅 Februa
 ry 12\n\n💬 Aleksandra Walczak\n\n🏫 CNRS European Nuclear Society (EN
 S)\n\n💡 Immune repertoires: specificity and dynamics\n\n📺 Watch reco
 rded talk\n\n \n\n💬 Andrea Mazzolini\n\n🏫 Laboratoire de Physique de
  l'École Normale Supérieure (LPENS)\n\n💡 Extracting dynamical propert
 ies of the immune repertoire from noisy sequencing data\n\n📺 Watch reco
 rded talk\n\n \n\n📅 February 26\n\n💬 Rob Patro\n\n🏫 University of
  Maryland\n\n💡 Counting is not easy: Assessing and quantifying uncertai
 nty in abundance inferences from high-throughput sequencing data\n\n📺 W
 atch recorded talk\n\n \n\n💬 Noor Pratap Singh\n\n🏫 University of Ma
 ryland\n\n💡 Uncertainty-aware analysis of RNA-Seq data using a tree-bas
 ed framework\n\n📺 Watch recorded talk\n\n \n\n📅 March 5 - Flash talk
 s \n\n📺 Watch recorded talks\n\n \n\n9:00 am\n\n \n\n💬 Isabella Boyl
 e\n\n🏫 Cancer Data Science\, Broad Institute\n\n💡 GeneTEA: gene-term
  enrichment with natural language processing\n\n \n\n💬 Francesca Rissom
 \n\n🏫 Iqbal Lab | Ladders 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 Insti
 tute\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 p
 rojecting to morphologically relevant coordinates\n\n \n\n💬 Uthsav Chit
 ra\n\n🏫 Eric and Wendy Schmidt Center\, Broad Institute\n\n💡 Mapping
  the topography of spatial gene expression with interpretable deep learnin
 g\n\n \n\n💬 Baris Ekim\n\n🏫 Berger Lab\, MIT and Popic Lab\, Broad I
 nstitute\n\n💡 Minimizer-space computation in genomics\n\n \n\n📅 Marc
 h 12\n\n💬 Rishwanth Raghu\n\n🏫 Princeton University\n\n💡 Heteroge
 neous reconstruction in cryo-EM\n\n \n\n💬 Ellen Zhong\n\n🏫 Princeton
  University\n\n💡 Machine learning for visualizing structural landscapes
  inside the cell\n\n \n\n📅 March 19\n\n💬 Andrew White\n\n🏫 Future
 House\, University of Rochester\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 D
 NA foundation modeling\n\n \n\n💬 Surag Nair\n\n🏫 ReLU\, BRAID\, Gene
 ntech\n\n💡 Nona\, a novel multimodal masked modeling framework for func
 tional genomics\n\n \n\n📅 April 9\n\n💬 Alexandru Dumitrescu\, Dani K
 orpela\n\n🏫 Aalto University\n\n💡 Diffusion for molecule generation\
 n\n \n\n💬 Harri Lähdesmäki\n\n🏫 Aalto University\n\n💡 Structure
 d variational autoencoders for prediction and optimization\n\n \n\n📅 Ma
 y 14\n\n💬 Ophelia Venturelli\n\n🏫 Duke University\n\n💡 TBD\n\n \n
 \n📅 May 21\n\n💬 Valentin De Bortoli\n\n🏫 Google DeepMind\n\n💡 
 Diffusion models\, Schrodinger bridges and applications in bio\n\n \n\n
 📅 May 28\n\n💬 Faisal Mahmood\n\n🏫 Harvard Division of Medical Sci
 ences\n\n💡 TBD\n\n \n\n**If you do not have a Broad badge\, please arri
 ve at the 75 Ames St. entrance 10 minutes early with an ID to check in wit
 h 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-2-7332
CATEGORIES:Talks
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