Matthew Dawson

CONTACT

INFORMATION

Ph.D. Candidate in Biostatistics

University of California, Davis

Department of Statistics

One Shields Avenue

Davis, CA 95616

Phone: 805-***-****

E-mail: ac0ghe@r.postjobfree.com

Website: mwdawson.github.io

AT A GLANCE Classically trained in statistics and biostatistics; hands-on experience with data science, sta- tistical/machine learning, and statistical consulting; curious about cutting-edge methods and implementations; creative vision and eagerness for learning. EDUCATION University of California, Davis,

Ph.D., Biostatistics, June 2017 (expected)

- Thesis Topic: Dynamic Distribution Models for Functional Data

- Adviser: Distinguished Professor Hans-Georg Müller

- GPA: 3.85 / 4.00

California State University, Channel Islands,

B.S., Mathematics, December 2010

- Area of Study: Methods for image processing

- GPA: 3.74 / 4.00

PROFESSIONAL

EXPERIENCE

Internships

Allstate Insurance Company: Data Scientist Intern 06/16 - 09/16

- Fit machine learning classification models including gradient boosting machines, ran- dom forest, generalized linear models, and text clustering

- Exploratory data analysis and visualization on large datasets using ggplot2 in R

- Performed data extraction from JSON, pipelining, and validation using Hadoop/Hive and bash scripts

- Consulted with business partners within Allstate

- Supervisor: Derek Damron (ac0ghe@r.postjobfree.com)

Prescio Consulting: Statistician Intern 06/14 - 09/14

- Performed time series modeling for regulatory purposes

- Researched new time series methodology and implemented corresponding algorithms in R

- Performed validation and exploratory data analysis in SAS and R

- Wrote reports and presented in front of external clients

- Supervisor: Kosta Vasilakos (ac0ghe@r.postjobfree.com) Research Positions

Sequencing the Aegilops tauschii Genome: Research Assistant 09/14 - 06/17

- Consulted with researchers for the purpose of sequencing a very large plant genome

- Researched distributional changes in gene distribution and identified clustering of genes using nonparametric models and mixture models

- Presented in front of interdisciplinary scientists

- Supervisor: Jan Dvorak (ac0ghe@r.postjobfree.com)

SKILLS AND

TECHNOLOGY

Skills

Statistical consulting, nonparametric statistics and smoothing techniques, longitudinal and functional data analysis, machine learning techniques, gradient boosting, random forest, bagging, clustering, linear and generalized linear models including logistic regression and ANOVA, high dimensional data and regularization including lasso and ridge regression, epidemiology, classical and mathematical statistics, survival analysis including Cox pro- portional hazards, visualization and exploration of complex data, creative thinking and re- search, teaching, communication and writing.

Technology

R and R Studio, Unix/Linux, git/GitHub, Python, LATEX, JIRA Agile, SQL, Hadoop/Hive, SAS, Microsoft Office, HTML, JavaScript, CSS.

TEACHING

EXPERIENCE

Associate Instructor

Elementary Statistics 08/15 - 09/15

Elementary Statistics 01/15 - 03/15

Teaching Assistant

Regression, Epidemiology, Mathematical Statistics 09/12 - 06/17 PAPERS Dawson, M., Müller, H.-G., Dvorak, J. et al., “Modeling gene distribution and insular structure in the Aegilops tauschii genome” (in preparation)

Jorgensen, C. et al., “Genetic mapping, structural chromosome rearrangements, genetic diver- sity, and role in wheat domestication of Karaca Dag wild emmer” (submitted) Dawson, M. and Müller, H.-G., “Dynamic modeling with conditional quantile trajectories for longitudinal snippet data, with application to cognitive decline of Alzheimer’s patients” (sub- mitted) (link)

Dvorak, J. et al., “Genome sequence of Aegilops tauschii, the progenitor of the wheat D genome and a genomic reference for wheat” (submitted)

Garas, L., Cooper, C., Dawson, M., Wang, J.-L., Murray, J., Maga, E., “Preventing enterotox- igenic E. coli infection using human-lysozyme (hLZ) transgenic goat milk in young pigs as a model for children, and the effects of hLZ on the intestinal mucosa and gut microbiota” (sub- mitted)

Leonard, K., Strawbridge, R., Lindsay, D., Barata, R., Dawson, M., Averion, L., “Minimal geometric representation and strawberry stem detection” (2013), 13th International Conference on Computational Science and Its Applications (link) AWARDS Outstanding Graduate Student Teaching nominee, UC Davis 02/16 Outstanding Teaching Assistant, UC Davis Department of Statistics 06/14 Top Honors in Mathematics, CSU Channel Islands 06/10 Top Team Scorer, Putnam Exam 12/09

PRESENTATION

EXPERIENCE

Presentations

Program speaker - “Seqencing Aegilops tauschii” annual meeting 07/16 Invited speaker - CSU Channel Islands M.S. in Mathematics program 09/15 Invited speaker - CSU Channel Islands B.S. in Mathematics program 09/15 Oral Qualifying Exam - UC Davis Graduate Group in Biostatistics 04/15 Poster Sessions

Peter Hall Memorial Conference 09/16

Joint Statistical Meetings 07/16

UC Davis Alzheimer’s Disease Center Research Symposium 11/15 Joint Mathematical Meetings 01/10

OUTSIDE

INTERESTS

Aside from the data sciences, my interests include: sports such as baseball, golf, volleyball, and bowling; music, and drums in particular; traveling, camping, and other outdoor activities.

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