-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
262 lines (259 loc) · 9.51 KB
/
index.html
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
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
<!DOCTYPE html>
<html>
<head>
<meta name="viewport" content="width=device-width" />
<link rel="shortcut icon" href="favicon.ico" />
<script type="text/javascript" async src="fonts-min.js"></script>
<link rel="stylesheet" href="style.css" />
<meta charset="utf-8">
<meta name="description" content="Hyunsu Cho's website" />
<title>Hyunsu (Philip) Cho</title>
</head>
<body>
<div id="container" itemscope itemtype="http://schema.org/Person">
<div id="header">
<div id="my_name">
<h1 itemprop="name" id="name">Hyunsu (Philip) Cho</h1>
</div>
<div id="my_contact">
<p>
Senior Systems Software Engineer
<br>
<a href="https://nvidia.com/">NVIDIA</a>
</p>
</div>
<div class="clearboth"> </div>
</div>
<div id="profile-pic">
<img src="pic.jpg" width="150" height="150"
alt="Philip's picture" itemprop="image" />
</div>
<div id="quicklinks">
<ul class="jump-bar">
<li><a href="cv/cv.pdf">Resume</a></li>
<li class="middot">·</li>
<li><a href="https://linkedin.com/in/hcho3">LinkedIn</a></li>
<li class="middot">·</li>
<li><a href="https://github.com/hcho3">GitHub</a></li>
</ul>
</div>
<p>Contact me at chohyu01 (at) cs.washington.edu.</p>
<h2 id="industry">Experience</h2>
<ul>
<li>
<strong>Senior Systems Software Engineer</strong>: I am part of the RAPIDS team, who builds
RAPIDS, the cutting-edge software suite for accelerating machine learning on NVIDIA GPUs.
<div class="vspace"></div>
NVIDIA. April 2020—Present.
</li>
<li>
<strong>Applied Scientist</strong>: I was part of initial efforts to launch
<a href="https://aws.amazon.com/sagemaker/neo/">Amazon SageMaker Neo</a>
in November 2018.
<div class="vspace"></div>
Amazon Web Services. January 2018—February 2020.
</li>
<li>
<strong>Applied Scientist Intern</strong>
<div class="vspace"></div>
Amazon Web Services. June—December 2017.
</li>
</ul>
<h2 id="open-source">Open-source Involvement</h2>
<ul>
<li>
<strong>Lead Maintainer of
<a href="https://github.com/dmlc/xgboost">XGBoost</a></strong>
<div class="vspace"></div>
XGBoost is an efficient, scalable library for
<a href="https://en.wikipedia.org/wiki/Gradient_boosting">gradient boosting</a>.
Over the years, I made substantial contribution to the C++ / Python portion of XGBoost.
I also built and have maintained a continuous integration / continuous delivery (CI/CD)
server. The server is hosted on AWS and runs a variety of tests for all incoming code
contributions, ensuring that XGBoost works well with multiple operating systems, data
infrastructures (Dask, Apache Spark) and NVIDIA GPUs. In addition, I made multiple renovations
for the build and packaging system used in XGBoost, ensuring that XGBoost works well with other
packages in Python and C++ ecosystem.
</li>
<li>
Owner and Maintainer of
<strong><a href="https://github.com/dmlc/treelite">Treelite</a></strong>
<div class="vspace"></div>
Treelite is a model compiler for easy and efficient deployment of
<a href="https://en.wikipedia.org/wiki/Decision_tree_learning">decision tree
ensembles</a>. The Treelite project is used within
<a href="https://aws.amazon.com/blogs/machine-learning/aws-launches-open-source-neo-ai-project-to-accelerate-ml-deployments-on-edge-devices/">
Amazon SageMaker Neo</a> and <a href="https://github.com/rapidsai/cuml">RAPIDS Machine Learning Library</a>.
</li>
<li>
<a href="https://github.com/hcho3">My GitHub account</a>
</li>
</ul>
<h2 id="education">Education</h2>
<ul>
<li>
<strong>M.S. in Computer Science</strong>
<div class="vspace"></div>
Paul G. Allen School of Computer Science and Engineering, University of
Washington. September 2015—March 2018.
</li>
<li>
<strong>B.S. in Computer Science and Mathematics</strong>
<div class="vspace"></div>
Trinity College. 2012—2015.
</li>
</ul>
<h2 id="research">Peer-reviewed publications</h2>
<ul>
<li>
<strong><a href="survival_xgboost.html">
Survival regression with accelerated failure time model in XGBoost
</a>
</strong>
<br>
with
<a href="https://avinashbarnwal.github.io/">
Avinash Barnwal</a> and
<a href="https://tdhock.github.io/">Toby D. Hocking</a>
<div class="vspace"></div>
Article published in
<a href="https://www.tandfonline.com/journals/ucgs20">Journal of Computational and Graphical Statistics</a> (2022)
</li>
<li>
<strong><a href="block_distributed.html">
Block-distributed Gradient Boosted Trees
</a>
</strong>
<br>
with
<a href="https://www.sics.se/people/theodore-vasiloudis">Theodore Vasiloudis</a>
and <a href="https://www.kth.se/profile/henbos?l=en">Henrik Boström</a>
<div class="vspace"></div>
Paper presented at
<a href="https://sigir.org/sigir2019/">ACM SIGIR</a> (2019), best short paper award
</li>
<li>
<strong><a href="treelite_sysml.html">
Treelite: toolbox for decision tree deployment
</a>
</strong>
<br>
with
<a href="https://github.com/mli">Mu Li</a>
<div class="vspace"></div>
Poster presented at
<a href="http://www.sysml.cc">SysML 2018</a> (2018)
</li>
<li>
<strong><a href="hypergraph.html">
An accelerated procedure for hypergraph coarsening on the GPU
</a>
</strong>
<br>
with
<a href="http://internet2.trincoll.edu/facProfiles/Default.aspx?fid=1335119">
Lin Cheng</a> and
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a>
<div class="vspace"></div>
Paper presented at
<a href="http://www.ieee-hpec.org/2015/">IEEE HPEC</a> (2015)
</li>
<li>
<strong><a href="dstedc.html">
A memory-efficient algorithm for large-scale symmetric tridiagonal eigenvalue
problem on multi-GPU systems
</a>
</strong>
<br>
with
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a>
<div class="vspace"></div>
Paper presented at
<a href="http://worldacademyofscience.org/worldcomp14/ws/conferences/pdpta14">
WorldComp 2014: PDPTA</a> (2014)<br>
Poster presented at
<a href="http://www.gputechconf.com/page/home.html">
GPU Technology Conference</a> (2014)
</li>
<li>
<strong><a href="eigenmap_gpu.html">GPU accelerated vessel
segmentation using Laplacian eigenmaps</a></strong><br>
with
<a href="http://internet2.trincoll.edu/facProfiles/Default.aspx?fid=1335119">
Lin Cheng</a>,
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a> and
<a href="http://www.linkedin.com/pub/jiajia-zhao/34/a32/8ab">Jiajia Zhao</a>
<div class="vspace"></div>
Paper presented at
<a href="http://www.iasted.org/conferences/pastinfo-811.html">
IASTED PDCN</a> (2014)<br>
Poster presented at <a href="http://www.gputechconf.com/page/home.html">
GPU Technology Conference</a> (2013)
</li>
<li>
<strong>
<a href="cholesky.html">An efficient out-of-core implementation of block
Cholesky decomposition on a multi-GPU system</a></strong><br>
with
<a href="http://internet2.trincoll.edu/facProfiles/Default.aspx?fid=1335119">
Lin Cheng</a>,
<a href="http://turing.cs.trincoll.edu/~pyoon/">Peter Yoon</a> and
<a href="http://www.linkedin.com/pub/jiajia-zhao/34/a32/8ab">Jiajia Zhao</a>
<div class="vspace"></div>
Paper presented at
<a href="http://www.iasted.org/conferences/pastinfo-789.html">IASTED
PDCS</a> (2012), best paper award<br>
Poster presented at <a href="https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=14633">IEEE EMBS</a>
(2012)
</li>
</ul>
<h2 id="Talks">Talks</h2>
<ul>
<li>
<strong>
<a href="talks/xgboost_state_2020_talk.pdf">The State of XGBoost: history and community overview</a>
</strong>
<br>
Los Angeles Data Science Meetup, November 10, 2020
</li>
<li>
<strong>
<a href="talks/senior_seminar_2020_talk.pdf">Taming Complexity in Software: real-life stories and lessons</a>
</strong>
<br>
Trinity College Senior Seminar Guest Talk, October 21, 2020
</li>
</ul>
<h2 id="awards">Awards and Honors</h2>
<ul id="awards-list">
<li>
<strong><a href="https://sigir.org/awards/best-short-paper-awards/">
Best Short Paper Award</a></strong>,
ACM SIGIR 2019, Paris, France, July 25, 2019.
</li>
<li>
<strong>Winner of
<a href="http://cra.org/about/awards/outstanding-undergraduate-researcher-award/">
Outstanding Undergraduate Researcher Award</a></strong>,
Computing Research Association, 2015.</li>
<li>
<strong>Recipient of
<a href="https://goldwater.scholarsapply.org/2014-scholars/">
the Goldwater Scholarship</a></strong>,
The United States Congress, 2014.</li>
<li>
<strong><a href="http://www.cs.ucsb.edu/~teo/pdcs.12">
Best Paper Award</a></strong>,
The 24th IASTED International Conference on Parallel and Distributed
Computing and System, Las Vegas, NV, November 13, 2012.</li>
</ul>
<p>
<a href="https://validator.w3.org/check?uri=referer">
<img src="https://www.w3.org/html/logo/downloads/HTML5_Logo_32.png"
width="32" height="32" alt="HTML5 Powered with CSS3 / Styling"
title="HTML5 Powered with CSS3 / Styling" />
</a>
</p>
</div>
</body>
</html>