RJ Nowling

Email: nowling@msoe.edu
CV

I’ve been an Associate Professor in the Electrical Engineering & Computer Science department of the Milwaukee School of Engineering since August 2018. From 2014 to 2018, I worked on scalable machine learning systems at AdRoll and Red Hat. Before then, I received a Ph.D. in Computer Science & Engineering from the University of Notre Dame and a B.S. in Computer Science and Mathematics from Eckerd College. My research over the last few years has employed statistics and machine learning to study the genomic data from insect vectors.

Current Students

Alumni

Alex M. (Summer 2022 - Spring 2023)

Alex evaluated deep learning models for characterizing genomic regions as inverted or not. Alex graduated with a B.S. in Computer Science in Spring 2023.

Andrew R. (Fall and Winter 2020-2021)

Andrew analyzed differences between FAIRE peaks for versions 3 and 5 of the Aedes genome. Andrew graduated with a B.S. in Computer Science in Spring 2023.

Ben H. (Winter 2019 and Spring 2020)

Ben implemented and evaluated published CNN models on enhancer sequence prediction. Ben graduated from the Software Engineering program at MSOE in Spring 2020.

Daniel L. (Fall 2020 - Summer 2022)

Daniel worked on a variety of projects related inversion detection with k-mer count features. Daniel graduated with a B.S. in Computer Science in Spring 2023 and is starting a Ph.D. in Computer Science in Fall 2023.

Errin M. (Fall and Winter 2020-2021)

Errin worked on characterizing enhancer sequences in the Anopheles genome.

Jarred K. (Summer 2021 - Spring 2022)

Jarred evaluated ensemble techniques for handling imbalanced genomics data in classification problems. Jarred graduated with a B.S. in Computer Science in Fall 2022.

John P. (Winter 2019 - Spring 2023)

John worked on numerous projects including a software tool that integrated multi-omics data to identify and annotate putative functional components of enhancer sequences. John graduated with a B.S. in Software Engineering in Spring 2023 and started a Ph.D. in Biomedical Data Science at UW-Madison in Fall 2023.

José H. (Summer 2022)

José prototyped a GUI application for annotating peaks in functional genomics data. José’s tool will make it easier to curate high-quality training sets for the next generation of ML-based peak callers.

Krystal M. (Spring 2019 - Spring 2020)

Krystal evaluated methods for detecting chromsomal inversions from SNPs and then implemented and ran a variant calling pipeline. Krystal graduated with a B.S. in BioMolecular Engineering in Spring 2019. Krystal then started a M.S. in Bioinformatics at Marquette University in Fall 2019.

Matt A. (Summer 2019, Fall 2020 - Spring 2021)

Matt implemented a population genetics simulator and explored how different processes of molecular evolution present in PCA of SNP data. Matt then evaluated clustering algorithms in terms of their accuracy for identifying population clusters. Matt graduated from MSOE in Spring 2022.

Oliver B. (Winter 2018 - Spring 2019)

Oliver was an exchange student from the Czech Technical University in Prague studying at MSOE for the 2018-2019 school year. Oliver was working on applying convolutional neural networks to detecting prostates in Magnetic Resonance (MR) images.

Rachel M. (Summer 2022)

Rachel, a biology major from nearby Alverno College, analyzed distributions of enhancers and genes in the Anopheles coluzzii mosquito genome. Rachel graduated in Fall 2022.

Rafael R. G. (Fall 2019 - Spring 2020)

Rafael graduated from the Computering Engineering program at MSOE in Spring 2020. During the 2019-2020 academic year, Rafael applied machine learning to identifying and predicting enhancer properties of sequences.

Sam K. (Summer 2022 - Spring 2023)

Sam evaluated techniques for analyzing clusters of genomic regions to identify inversions.

Sumedha S. (Fall 2022 - Spring 2023)

Sumedha created a dashboard for integrating multi-omics data and several data analyses related to enhancers.