Dr. Michael Lamar

Email: mlamar@slu.edu

Phone: 314-977-2434

Office: Ritter 213

Current Teaching:

Math 3550 - Mathematical Statistics

Math 4880 - Probability & Statistics for Engineers

Reasearch Interests:

The bulk of my work has been in machine learning focusing on natural language processing. Specifically, I have worked extensively on part-of-speech tagging using co-occurrence statistics of word types. I have explored the problem relying on both probabilistic models and dynamical systems based models. I have a growing interest in biological learning as it relates to neural coding, language acquisition, and vision.

Curriculum Vitae:

**Education**

May 2010 Ph.D. Applied Mathematics, Brown University

May 2004 M.Sc. Applied and Computational Mathematics, Johns Hopkins University

August 2000 M.Sc. Mechanical Engineering, Washington University

May 1999 B.A. Mathematics & Economics, Washington University

May 1999 B.S. Physics (History minor), Washington Unversity

**Publications**

Maron,
Lamar, and Bienenstock.
Sphere
Embedding:
An
Application
to
Part-of-Speech Induction. NIPS 2010. (pdf)

Lamar, Maron,
and Bienenstock.
Latent
Descriptor
Clustering
for
Unsupervised
POS
Induction. EMNLP 2010. (pdf)

Lamar, Maron,
Bienenstock,
and Johnson.
Iterated
SVD-and-Clustering
for
Unsupervised
POS
Tagging.
ACL
2010. (pdf,
awarded
Best
Short
Paper)

Awadallah, Lamar, Kuttler. An Accelerated Boundary Integral
Equation Scheme for Propagation over the Ocean Surface. Radio
Sciene. 37(5), 1075 October 2002

Bayly, Lamar, Calvert. Low-Frequency Regenerative Vibration and
the Formation of Lobed Holes in Drilling. Journal of
Manufacturing Science Eng. May 2002 Volume 124, Issue 2

**Awards
and Recognition**

May 2011: MAA

Project NExT Fellow

July 2010: Association for Computational Linguistics

Award for Best Short Paper

May 2010: Brown University's Presidential Award for Teaching

Nominee of the Division of Applied Mathematics

2002: Johns Hopkins University Applied Physics Lab

Best Paper Award

1999: Washington University

Summa Cum Laude

Phi Beta Kappa

Sigma Xi

**Teaching
Experience**

August 2011 - present Assistant Professor,
Saint Louis University

Math 401 Probability Theory

Math 402 Mathematical Statistics

Math 403 Probability and Statistics for Engineers

Math 493 Probability Models

Math 355 Differential Equations

Math 130 Introduction to Statistics with Computers

Math 126 Statistics in Sports and Politics

August 2010 – June 2011 Visiting Assistant
Professor, Saint Louis University

Math 401 Probability Theory

Math 402 Mathematical Statistics

Math 130 Introduction to Statistics with Computers

August 2005 – May 2010 Teaching Assistant, Brown University

Upper Level Courses

- Statistical Inference I

- Statistical Inference II

- Operations Research: Probabilistic Models

- Introduction to Scientific Programming

Lower Level Courses

- Honors Differential Equations I

Summer 1997, Summer 1998 Johns Hopkins
University Center for Talented Youth