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	<title>User:Billchenxi - Revision history</title>
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	<updated>2026-05-17T18:05:16Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.aclweb.org/aclwiki/index.php?title=User:Billchenxi&amp;diff=12866&amp;oldid=prev</id>
		<title>Chunliang Lyu: Creating user page for new user.</title>
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		<updated>2020-05-04T22:36:25Z</updated>

		<summary type="html">&lt;p&gt;Creating user page for new user.&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Experienced Machine (Deep Learning) Learning Specialist with a demonstrated history of working in the statistics, computer vision, and bioinformatics.&lt;br /&gt;
&lt;br /&gt;
Data Science | Machine Learning Engineering | Software Engineer&lt;br /&gt;
billchenxi@gmail.com&lt;br /&gt;
&lt;br /&gt;
CORE COMPETENCIES:&lt;br /&gt;
● Fluency in Python, R, SQL, etc.&lt;br /&gt;
● ML model development (Computer Vision, NLP)&lt;br /&gt;
● Analytical Skills.&lt;br /&gt;
● Statistical analysis.&lt;br /&gt;
● Software engineering.&lt;br /&gt;
● Ph.D. in Bioinformatics&lt;br /&gt;
● MA in Applied Statistics.&lt;br /&gt;
&lt;br /&gt;
ACCOMPLISHMENTS:&lt;br /&gt;
■ Published multiple papers across different disciplines: education, biochemistry, computer science, and statistics.&lt;br /&gt;
■ Improved machine learning model performance of more than 5x as measured by accuracy and recall by integrating a video frame data-filtering pipeline and a two-output transfer learning model with CNN and LSTM.&lt;br /&gt;
■ Built a statistical base model for an estimate of reference correcting values for protein and surpassed the state-of-the-art performance as measured by reference error below +/- 0.22 ppm at 90% confidence interval. (State of the art is around 1ppm.)&lt;br /&gt;
■ Accomplished a state-of-the-art cancer detection and type classification performance as measured by the accuracy of &amp;gt;97% and the false positive/ negative rates of &amp;lt;0.2% by using transfer learning approach.&lt;br /&gt;
&lt;br /&gt;
Please contact me at ☏ (857) 209-1002 with any data science, machine learning, deep learning, and software engineering opportunities.&lt;/div&gt;</summary>
		<author><name>Chunliang Lyu</name></author>
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