[BIC-announce] Fwd: AI + Biology: AI Innovation Fellowship in Machine Learning led by MIT Graduates

[JB Poline]

FYI : AI-biology fellowships
JB

---------- Forwarded message ---------
From: Adeesh Goel <adeesh at alumni.stanford.edu>
Date: Wed, Dec 15, 2021 at 10:12 AM
Subject: AI + Biology: AI Innovation Fellowship in Machine Learning led by
MIT Graduates
To: <jean-baptiste.poline at mcgill.ca>


Interdisciplinary AI Innovation Fellowship Opportunity for McGill
University students, led by Stanford and MIT Graduates

Hi Jean-Baptiste,

I hope this message finds you well! My name is Adeesh Goel, and I'm the
Program Head at AI Innovators
<https://cPv1T04.na1.hubspotlinks.com/Btc/2L+113/cPv1T04/VVrM8Y7kJQy-N7_vYsnt76GXW5q0Twr4C5FdSN7vvr0k3lSbNV1-WJV7CgSGrW7zT4FS20KlyBW4yggz314Np6dN7b3WTrXJplhW9brN0W1rmqDrVqJj_253LFXHW6vsYHd6fR9qyW49GZbm6QPSG4W1-Thm29cz-76W6p8yLt56MRSYVGffP16R5sLqN1ZxvHjg44d5W2N1c2c3nhNZ9W8V6L_K8czBJHW607sQN4vW82FW4SVvCB7G-TRFW10m_7M79hRnQW23FSfj5CylxjW2R6rfX5nLFbWVnZhZC7l6VVbW91Ygg91qvlMqN4295Rl9W_CfW4VBPSc8cK0k-3f_n1>,
an educational program committed to introducing artificial intelligence to
the next generation of researchers and professionals across disciplines,
especially in biology. From protein interaction prediction to genome
sequencing, we believe AI pushes the boundaries of your field. I'm reaching
out to you, as a trusted leader in the Biology department at McGill
University, to share an interdisciplinary AI Fellowship opportunity for
your students. Applications
<https://cPv1T04.na1.hubspotlinks.com/Btc/2L+113/cPv1T04/VVrM8Y7kJQy-N7_vYsnt76GXW5q0Twr4C5FdSN7vvr0k3lSbNV1-WJV7CgPyTW9jjVny7GdjLYW7L4q6W8ZLBytW2mtSzH39VcKtW1xDzGL8xwcRnW7d-M645VsLrDV653FD3MKl5jW89j9jl5h0V2vW5QC-_h4c_PX0W7dLB0F4j5SvwW4YsHDD6ttVWGW6vctKM1QR7xlVvP2MB5rW9g-VLhYn92pMZPxW7wXP8h5phxdfW6Pg5nH98-QH9W7fDjDb2tc8QTW4j504Z96nRPKW4pFZsL7pG58vW2MTJn06-7-_6W86s2pl36JhvPN6544Kx-c1Z1W3rc0kT581jkf31581>
for our Spring 2022 cohort are now open.

Our course, AI Innovators, developed and taught by MIT and Stanford
graduates, invites students this spring quarter to gain an endorsed
technical skillset and complete a shareable AI project.

I would appreciate it if you would be willing to share the short program
description below with your undergraduate or graduate students that you
think may benefit. If you have any questions, please don't hesitate to
reach out.

Thank you so much for your support!

Warm Regards,
Adeesh Goel
Program Head, Inspirit AI
adeesh at alumni.stanford.edu



AI + Biology: AI Innovation Fellowship in Machine Learning
The AI Innovation Fellowship
<https://cPv1T04.na1.hubspotlinks.com/Btc/2L+113/cPv1T04/VVrM8Y7kJQy-N7_vYsnt76GXW5q0Twr4C5FdSN7vvr0k3lSbNV1-WJV7Cg_2sW1FXf4r294nKxW3XvFbv531WgLW1-TXbx6YbwffW8XVrp_1Qc6cQW3VfPXV2ZB5n8W7h-DRK6ltTkmW5yZrCw3W9jydW3G5cmy4CpsX5VJh6DM894Xs0W2NvQ2-3V-Hy0W5Rtngs9l_h3NW86KWSg4wg-wPM1YcKGc6ZgGW1p-Mls1HBYmvW56XbsB1rkGVpW69gHbJ8Z0KJdW5PHSsL7wbD8qW7HwtBy1VGNZ7W8Xx_b08xQpRYW7M0k-C1CPPfYW6vGs8V3fhj0BW5pYHMx61qvhB37zn1>
in Machine Learning equips students with state-of-the-art machine learning
techniques like Regression, Classification, Unsupervised Learning, Natural
Language Processing, Neural Networks, and Convolutional Neural
Networks. Leveraging these new tools, students build out a professional
portfolio with a capstone project, AI + X, that draws on students' unique
interest and domain expertise. Students can use AI as a building block for
scientific exploration and fashion unique research directions– developing
approaches at the intersection of AI and Biology to broaden their
understanding and intellectual impact to this domain. Adapt AI techniques
to explore problems in DNA sequencing and drug discovery. Students will
create computational solutions for the expanding world of biological
problems. For more information, please visit inspiritinnovators.com
<https://cPv1T04.na1.hubspotlinks.com/Btc/2L+113/cPv1T04/VVrM8Y7kJQy-N7_vYsnt76GXW5q0Twr4C5FdSN7vvr0k3lSbNV1-WJV7CgSGrW7zT4FS20KlyBW4yggz314Np6dN7b3WTrXJplhW9brN0W1rmqDrVqJj_253LFXHW6vsYHd6fR9qyW49GZbm6QPSG4W1-Thm29cz-76W6p8yLt56MRSYVGffP16R5sLqN1ZxvHjg44d5W2N1c2c3nhNZ9W8V6L_K8czBJHW607sQN4vW82FW4SVvCB7G-TRFW10m_7M79hRnQW23FSfj5CylxjW2R6rfX5nLFbWVnZhZC7l6VVbW91Ygg91qvlMqN4295Rl9W_CfW4VBPSc8cK0k-3f_n1>.
A
<https://cPv1T04.na1.hubspotlinks.com/Btc/2L+113/cPv1T04/VVrM8Y7kJQy-N7_vYsnt76GXW5q0Twr4C5FdSN7vvr0k3lSbNV1-WJV7CgPnTW3WqT3q8v9SNlW8thh_q7_KCQpW93PF-_6gCGrcW8Q0c-Y1Q6j1TVqbjcp7hMfbyW1n0RbJ6qcKKwW7pT_R14fBrT1W5Wx8G_6ZD9VlW40tQJH3HwyYVW5pzr9l35B1NwW6Z75NS6Rqm_5W1GJGs72dHjMfN2QzW17x_QWGW3Vnvbr4--wf4N3Pc0wcWTLxwW42wdtB6fB0T9W8dJswv3Vq7b5W3kKhTJ5btjS8W5DzmGS2k04KRW4GlHHC2L_gbKW6YJvw79d6xmMW42RlzD1QkvXY38Gb1>
pplications
<https://cPv1T04.na1.hubspotlinks.com/Btc/2L+113/cPv1T04/VVrM8Y7kJQy-N7_vYsnt76GXW5q0Twr4C5FdSN7vvr0k3lSbNV1-WJV7CgZZSW1rzwq4958rBNW2mz53v7mdFB1W1rq6jK70jzM8W3DScd45L0LM4W279dgV3SxMccN3KbbtvfmGHyW2nkrxz8Q5LVVW15h--h5zf4pkW2JqBwl8NrtSrW7sCcM92bX51rVxbK6d4cr5DpW7N3hMy6w33gXW6ljPMv3TJPhXW29rs4x8rzhF9N83_pm1c6712W5NXhL21J2xSTW4GSdfz2tkbWjW8Csjhr5Fbm1VW6lTySt4HG3DdW3z_zRr68Rs4wW1BXLw-8PFtwpW6pC9P672QFRZ33W11>
are now open. If you have any questions, please feel free to contact Adeesh
Goel at adeesh at alumni.stanford.edu or call +1 (803) 859-5855.

Inspirit AI, 530 Lytton Avenue, Palo Alto, California 94301

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