[Lisa_seminaires] [mila-tous] Re: [Extra Tea Talk] Berton Earnshaw (Recursion Pharmaceuticals) Mon Aug 6 12PM AA3195

Yoshua Bengio yoshua.umontreal at gmail.com
Lun 6 Aou 11:55:13 EDT 2018


Pizza in 3195 is arrived. The smell is irresistible ;-)

Le lun. 6 août 2018 à 11:41, Yoshua Bengio <yoshua.umontreal at gmail.com> a
écrit :

> Actually, free PIZZA!
>
> Those who are into medical machine learning should definitely come!
>
> -- Yoshua
>
> Le lun. 6 août 2018 à 10:53, Michael Noukhovitch <mnoukhov at gmail.com> a
> écrit :
>
>> Reminder this is in 1 hour!
>>
>> The food for lunch will probably be St Hubert.
>>
>> Thanks,
>> Michael
>>
>> On Thu, Aug 2, 2018 at 9:53 PM Michael Noukhovitch <mnoukhov at gmail.com>
>> wrote:
>>
>>> Early next week we have an extra talk by *Berton Earnshaw*, Senior
>>> Director of Data Science Research at *Recursion Pharmaceuticals* giving
>>> a talk on *Monday August 6 2018* at *12pm - 1pm* in room *AA3195.* This
>>> will be a lunch talk and mingle with *food served!*
>>>
>>> Will this talk be streamed <https://mila.bluejeans.com/809027115/webrtc>?
>>> Yes
>>>
>>> Want to meet with Berton in the afternoon?
>>> https://calendar.google.com/calendar/selfsched?sstoken=UVBVTVF0X25Nd09LfGRlZmF1bHR8ZWQ5MmNlYWMxODI4OWVkNmUzNGU3OTE4ZDExMGI0YTk
>>>
>>> Come for the food and machine learning, stay because the talk will be
>>> awesome.
>>> Michael
>>>
>>> *TITLE *Representation learning in human cellular biology
>>>
>>> *KEYWORDS* bioinformatics, representation learning
>>>
>>> *ABSTRACT*
>>> The automated labs at Recursion Pharmaceuticals currently run more than
>>> 100,000 experiments every week, and each experiment involves imaging the
>>> morphology of human cells under various biological and chemical
>>> perturbations. The resulting data set is the largest and most diverse of
>>> its kind, and is used to train networks that learn to predict which
>>> compounds treat which diseases, and why. In this talk, I will describe the
>>> challenges of learning on biological image sets, discuss some approaches we
>>> have taken to learning representations of these images, and describe how we
>>> use these representations to discover candidate treatments for disease.
>>>
>>> *BIO *
>>> Berton earned a PhD in math from the University of Utah in 2007, where
>>> he designed biophysical models of protein trafficking at synapses during
>>> episodes of learning and memory formation. In 2010, after two post-docs at
>>> Utah and Michigan State University spent developing the theory of
>>> non-autonomous master equations, Berton took some time off of academia and
>>> co-founded the call center software company Perfect Pitch where he led as
>>> CTO. In 2012 he joined the founding team of Red Brain Labs as Director of
>>> Operations and Data Science, where he worked to optimize call centers using
>>> machine learning and simulation. In 2014, Red Brain Labs was acquired by
>>> Savvysherpa where, as a Senior Scientist and Principal, Berton led various
>>> research projects applying machine learning to insurance claims and medical
>>> records with the goal of improving healthcare outcomes. In 2017, Berton
>>> joined Recursion Pharmaceuticals as Senior Director of Data Science
>>> Research, where he leads the research team in applying deep learning to
>>> millions of images of human cells in search of treatments for hundreds of
>>> diseases.
>>>
>>> *COMPANY BIO*
>>> At Recursion Pharmaceuticals, we have raised over $80M to apply machine
>>> learning to one of the most unique datasets in existence - tens of millions
>>> of images of cells under a huge number of biological and chemical
>>> perturbations, generated in our own labs - in order to find treatments for
>>> hundreds of diseases. Our long term mission is to decode biology to
>>> radically improve lives - we want to understand biology so well that we can
>>> fix most things that go wrong in our bodies.
>>>
>> --
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>
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