Repository navigation
Expand file tree
/
Copy pathbio.html
More file actions
120 lines (100 loc) · 5.33 KB
/
Copy pathbio.html
File metadata and controls
120 lines (100 loc) · 5.33 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<meta http-equiv="content-type" content="text/html; charset=iso-8859-1" />
<title>Lester Mackey: Bio</title>
<meta name="keywords" content="lester mackey, computer science, machine learning, statistics, social good, high-dimensional, probability, concentration, research, stanford, microsoft research" />
<meta name="description" content="Lester Mackey's website" />
<link rel="stylesheet" type="text/css" href="default.css" />
<!-- Google analytics tracking code -->
<script type="text/javascript">
var _gaq = _gaq || [];
_gaq.push(['_setAccount', 'UA-9971253-1']);
_gaq.push(['_trackPageview']);
(function() {
var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
})();
</script>
</head>
<body>
<div id="upbg"></div>
<div id="outer">
<div id="header">
<div id="headercontent">
<h1>Lester Mackey</h1>
<h2>lwmackey@gmail.com</h2>
</div>
</div>
<div id="headerpic"></div>
<div id="menu">
<!-- HINT: Set the class of any menu link below to "active" to make it appear active -->
<ul>
<li><a href="index.html">Home</a></li>
<li><a href="research.html">Research</a></li>
<li><a href="talks.html">Talks</a></li>
<li><a href="teaching.html">Teaching</a></li>
<li><a href="dinosaurplanet.html">Netflix Prize</a></li>
<li><a href="alsprize4life.html">ALS Prize4Life</a></li>
<li><a href="forecastrodeo.html">Forecast Rodeo</a></li>
<li><a href="aiweatherquest.html">AI Weather Quest</a></li>
<li><a href="contact.html">Contact</a></li>
<li><a href="bio.html" class="active">Bio</a></li>
<li><a href="papers/Lester_Mackey-CV.pdf">CV</a></li>
</ul>
</div>
<div id="menubottom"></div>
<div id="content">
<!-- Normal content: Stuff that's not going to be put in the left or right column. -->
<div id="normalcontent">
<h4>Biography</h4>
<div class="contentarea">
<!-- Normal content area start -->
<p>
Lester Mackey is a Senior Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from subseasonal forecasting, healthcare, and the <a href="http://stanford.edu/group/stats-for-good/">social good</a>.
Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science.
He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University.
He co-organized the second place team in the Netflix Prize competition for collaborative filtering;
won the Prize4Life ALS disease progression prediction challenge;
won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo;
placed first in the ECMWF AI Weather Quest;
and received best paper, outstanding paper, and best student paper awards from
the ACM Conference on Programming Language Design and Implementation,
the Conference on Neural Information Processing Systems, and
the International Conference on Machine Learning.
He is a 2023 <a href="https://www.macfound.org/fellows/class-of-2023/lester-mackey">MacArthur Fellow</a>,
a Fellow of the Institute of Mathematical Statistics,
a Fellow of the American Statistical Association,
an elected member of the COPSS Leadership Academy, and
the recipient of the 2023 Ethel Newbold Prize and the 2025 COPSS Presidents' Award.</p>
<p>Lester serves as a Senior Area Chair and board member for the Conference on Neural Information Processing Systems (NeurIPS),
as a Senior Meta-Reviewer for the International Conference on Machine Learning,
as a Statistical Editor for the Proceedings of the National Academy of Sciences,
and as an Associate Editor of the Annals of Statistics.
He formerly served as a NeurIPS General Chair,
as an Editor of Environmental Data Science,
and as an Associate Editor of the SIAM Journal on Mathematics of Data Science.
Lester is currently a member of
the American Statistical Association (ASA),
the Association for the Advancement of Artificial Intelligence (AAAI),
the Association of Computing Machinery (ACM),
the Bernoulli Society,
the Institute of Electrical and Electronics Engineers (IEEE),
the Institute of Mathematical Statistics (IMS),
the International Society for Bayesian Analysis (ISBA), and
the Society for Industrial and Applied Mathematics (SIAM).</p>
<!-- Normal content area end -->
</div>
</div>
</div>
<!-- Some extra padding at the end -->
<div id="endpadding">
</div>
<div id="footer">
<div class="left">© 2023 Lester Mackey. All rights reserved.</div>
<div class="right">Design by <a href="https://www.nodethirtythree.com/">NodeThirtyThree Design</a></div>
</div>
</div>
</body>
</html>