Xiao (Cosmo) Zhang
I am a 4th year Ph.D. student in Computer Science at Purdue University. I am working with Dan Goldwasser in the Purdue Natural Language Processing (NLP) group.


My research interests are connectionism inspired machine learning methods for natural language processing, more specifically, neural networks and probabilistic models. I am particularly interested in structural models that try to understand language as a structured cognitive representation.


Before I joined the CS department, I worked on HCI and neural networks, with Gregory Francis in Psychological Sciences at Purdue University, from where I obtained my master in psychology (Mathematical and Computational Cognitive Science concentrated). During that period, I received intensive quantitative and computational training, and also developped my interest in machine learning.


I am working as a TA for the Machine Learning for NLP course in the 2017 Fall semester.
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Some notes written by me in my own study or doing TA work.
IRWLS algorithm for MLE in logistic regression.  [pdf]
I contribute to my own Github frequently.
Industry:
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Teaching:

TA for Data Mining, 2016, taught by Bruno Ribeiro.
Head TA for Statistical Machine Learning, 2015, taught by Dan Goldwasser.
TA for Experimental Design and ANOVA, 2015, taught by Richard Schweickert.
TA for Statistical Inference, 2014, taught by Richard Schweickert.
Head TA for Introduction to the Analysis of Algorithms, 2013, taught by Mike Atallah.
TA for Introduction to Cognitive Psychology, 2011 and 2012, taught by Gregory Francis.
Purdue University
Ph.D. Student in Computer Science
Advisor: Dan Goldwasser

Purdue University
Joint Master in Computer Science and Statistics, 2015
Advisors: Jennifer Neville, Dan Goldwasser

Purdue University
Master in Psychological Sciences (with thesis), 2014
Thesis: Optimization of Switch Virtual Keyboard by Using Computational Modelling
Advisor: Gregory Francis

Huazhong Normal University, P.R.China
Bachelor of Science in Psychology, 2011

Huazhong Agricultural University, P.R.China
Bachelor of Arts in Linguistics, 2011

In the graduate school, I have taken the following relevant courses (overall GPA 3.7):
Computational Methods in Optimization, Operating Systems, Machine Learning Theory, Statistical Machine Learning, Advanced Statistical Methods, Machine Learning Methods for Natural Language Processing, Database Systems, Bioinformatics Algorithms, Introduction to Mathematical Statistics, Numerical Linear Algebra, Introduction to Cognitive Neuroscience, Computational Statistics, Data Mining, Algorithm Design and Analysis, Neuromorphic Systems and Vision, Introduction to Probability, Bayesian Applied Decision Theory, Introduction to Simulation and Modeling of Computer Systems, Vector Calculus
I like reading science fictions and watching sci-fi movies for relaxing. I am also fond of hiking, travelling and trying Chinese cuisines. I served as the president of Purdue Computer Science Graduate Student Board from 2013 to 2014, having organized activities and connected graduate students to industrial companies as well. I am a hard-headed behaviorist. B. F. Skinner is my favourite psychologist. Though in psychology it is widely claimed that behaviorism has been substituted by cognitive psychology, I believe the essence of behaviorism was successfully inherited by machine learning.