Update biosketch.

casutton · Jul 4, 2023 · fbf2288 · fbf2288
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diff --git a/_includes/pubs-by-topic.html b/_includes/pubs-by-topic.html
@@ -270,7 +270,7 @@ <h3 class="keyword">Program Synthesis</h3>
 
 
 <a href=""><b>Program Synthesis with Large Language Models</b></a>.&nbsp;Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le and Charles Sutton.
-<i>arXiv:2108.07732</i>
+<i>arXiv:2108.07732</i>. 
 2021.
 
 
@@ -510,7 +510,7 @@ <h3 class="keyword">Language Modelling</h3>
 
 
 <a href=""><b>PaLM: Scaling Language Modeling with Pathways</b></a>.&nbsp;Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov and Noah Fiedel.
-<i>arXiv:2204.02311</i>
+<i>arXiv:2204.02311</i>. 
 2022.
 
 

diff --git a/_includes/pubs-by-year.html b/_includes/pubs-by-year.html
@@ -16,7 +16,7 @@ <h3 class="year">2022</h3>
 
 
 <a href=""><b>PaLM: Scaling Language Modeling with Pathways</b></a>.&nbsp;Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov and Noah Fiedel.
-<i>arXiv:2204.02311</i>
+<i>arXiv:2204.02311</i>. 
 2022.
 
 
@@ -363,7 +363,7 @@ <h3 class="year">2021</h3>
 
 
 <a href=""><b>Program Synthesis with Large Language Models</b></a>.&nbsp;Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le and Charles Sutton.
-<i>arXiv:2108.07732</i>
+<i>arXiv:2108.07732</i>. 
 2021.
 
 

diff --git a/biosketch.md b/biosketch.md
@@ -4,33 +4,35 @@ title: Biographical Sketch, Charles Sutton
 ---
 # Current Biographical Sketch
 
-Charles Sutton is a Research Scientist at Google Brain
-and a Reader (equivalent to Associate
+Charles Sutton is a Research Scientist at Google DeepMind.
+His research in machine learning is motivated 
+by a broad range of applications, including natural language processing
+(NLP), analysis of computer systems, sustainable energy, data analysis, programming languages,
+and software engineering. His work in software
+engineering has won two ACM Distinguished Paper Awards (FSE 2014, ICSE 2020)
+and a 10-year Most Influential Paper award ([MSR 2023](https://conf.researchr.org/home/msr-2023)). 
+Previously, Dr Sutton was a Reader (equivalent to Associate
 Professor: [http://bit.ly/1W9UhqT](http://bit.ly/1W9UhqT)) in Machine
-Learning at the University of Edinburgh.  He has published over 50
-papers in probabilistic machine learning and deep learning, motivated by
-the demands of a broad range of applications, including natural language processing
-(NLP), analysis of computer systems, sustainable
-energy, data analysis, and software engineering. His work in software
-engineering has won an ACM Distinguished Paper Award. His PhD is from
+Learning at the University of Edinburgh.
+His PhD is from
 the University of Massachusetts Amherst, and he has done postdoctoral
-work at the University of California Berkeley. He has served as
-Director of the EPSRC Centre for Doctoral Training in Data Science at
-the University of Edinburgh. He is a Fellow of the Alan Turing
-Institute, the UK's national research institute for artificial intelligence
-and data science.
+work at the University of California Berkeley. He has served as Director of the EPSRC Centre for Doctoral Training in Data Science
+and a Fellow of the Alan Turing Institute.
 
 ## Professional and Educational History
 
 * Research Scientist, Google, 2018-present.
-* Reader in Machine Learning, School of Informatics, University of Edinburgh, 2014-present.
+* Honorary Fellow, University of Edinburgh, 2022-present.
+* Reader in Machine Learning, School of Informatics, University of Edinburgh, 2014-2022.
 * Lecturer in Machine Learning, School of Informatics, University of Edinburgh, 2009-2014.
 * Postdoctoral Researcher, University of California Berkeley, 2007-2009.
 * PhD in Computer Science, University of Massachusetts Amherst, 2008.
 * BA in Computer Science and Philosophy, St Mary's College of Maryland, 1999.
 
 See [my curriculum vitae](sutton-vita.pdf)
 
+*(This page last updated: July 2023)*
+
 ## Photographs
 
 ![Charles Sutton (small photo)](images/charles3.jpg){:class="img-responsive"}<br/>

diff --git a/index.md b/index.md
@@ -18,7 +18,7 @@ no_container: true
       </div>
 
       <div class="col-md-4 contact-box">
-        Research Scientist, <a href="https://research.google/teams/brain/">Google Brain</a><br/>
+        Research Scientist, <a href="https://deepmind.com/">Google DeepMind</a><br/>
         Honorary Fellow, School of Informatics<br/>
         University of Edinburgh<br/>
         Email: <a href="mailto:[email protected]">[email protected]</a><br/>