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SUMMARY:Machine learning for genetics and health: key challenges and an on
 going search for solutions. - Bianca Dumitrascu (Computer Lab\, University
  of Cambridge)
DTSTART:20211118T130000Z
DTEND:20211118T140000Z
UID:TALK165880@talks.cam.ac.uk
CONTACT:Lorena Qendro
DESCRIPTION:*Abstract*: Genomic and medical data are available at unpreced
 ented scales due to developments in high throughput sequencing\, imaging t
 echnologies\, as well as better practices in aggregating electronic health
  care records. In parallel\, innovations in statistics and machine learnin
 g boast successful algorithms for a wide array of engineering applications
 . However\, bridging these two worlds -- the world of real\, messy biologi
 cal data\, and that of algorithms and computation -- is challenging. In th
 is talk\, I will survey current work in biomedical research areas with a f
 ocus on genetics\, imaging\, and clinical data. I will discuss my own ongo
 ing work to address statistical challenges arising from both data collecti
 on and data analysis\, with an emphasis on pitfalls and open questions.\n\
 n*Zoom link:* https://cl-cam-ac-uk.zoom.us/j/92846273074?pwd=VnRlRU5qUExtW
 ldhbzltdURCQWh1dz09\n\n*Bio:* I recently joined the Department of Computer
  Science and Technology (Computer Laboratory) at the University of Cambrid
 ge as a Departmental Early Career Fellow in the Accelerate Programme for S
 cientific Discovery.\n\nPreviously\, I was a Member in the School of Mathe
 matics at the Institute for Advanced Study and I attended the semester lon
 g program in deep learning at the Statistical and Applied Mathematical Sci
 ences Institute\, where I was graciously hosted by David Dunson in the Duk
 e Statistical Science Department. I received my PhD in Computational Biolo
 gy at Princeton University\, under the mentorship of Barbara E. Engelhardt
 . My PhD research focused on the effect of experimental design in single c
 ell gene expression studies and on method development for structured\, hig
 h-dimensional medical and genomic data. I did my undergraduate studies in 
 Mathematics at MIT.
LOCATION:Computer Laboratory\, William Gates Building\, FW11 And Remote
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