MSOE students are bright, creative, hard-working and fun to be around. Ours is a close-knit community of about 3,000 students, faculty and staff—large enough for big opportunities and small enough for personal attention. Located in a vibrant downtown neighborhood in Milwaukee, MSOE offers students an engaging learning and living environment. The university is fully committed to every student who is willing to be challenged and work hard to become a better person as a successful MSOE graduate

Since 1903, MSOE has been offering an applications-based education, partnering with leaders of business and industry to shape the institution’s development. Early supporters realized that their future depended upon educational institutions that could prepare men and women to fill newly created engineering and management positions.

Today, MSOE offers 17 bachelor’s degrees and 11 master’s degrees. The students who attend MSOE come from all parts of the United States and dozens of other countries. More than 20,000 alumni live and work throughout the United States and abroad, and nearly 2,000 of them own their own businesses or are officers of companies. 

Milwaukee School of Engineering

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Expert Inquiry

Open Sans

GAANN Fellowship

OpenMM Visiting Scholar

Outstanding Graduate TA Award

Nominated for Associate Membership - 2010
Nominated for Full Membership - 2020

Sigma Xi -Scientific Research Honor Society

Institute of Electrical and Electronics Engineers (IEEE) : Member

American Society for Engineering Education (ASEE) : Member

Sigma Xi: Full Member

Council on Undergraduate Research (CUR): Member

Society for the Study of Evolution (SSE): Member

Society for Molecular Biology and Evolution (SMBE): Member

Detecting inversions with PCA in the presence of population structure

Adjusted Likelihood-ratio Test for Variants with Unknown Genotypes

Detecting Chromosomal Inversions from Dense SNPs by Combination PCA and Association Tests

Stable Feature Ranking with Logistic Regression Ensembles

A Domain-Driven, Generative Data Model for Big Pet Store

Long Timestep Molecular Dynamics on the Graphical Processing Unit

Computer Science

Machine Learning

Data Science

Genomics

Data Structures and Algorithms

Bioinformatics

Exploring Mechanisms of Molecular Evolution and Their Representations in PCA

Detecting and Localizing Inversions with SNPs

Real-World Lessons in Machine Learning Applied to Spam Classification

Populations Genetics without Population Labels

Feature Ranking as an Alternative to FST

Hearing Patient's Voice: Contextual Phenotyping of Patient Narratives and Clinical Data using ML & NLP

CRII: III: RUI: Association Testing and Inversion Detection without Reference Genomes

Associate Professor, Program Director of Machine Learning and Coordinator for the Masters of Machine Learning Certificate

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