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Research Computing Services Team

We work across the University to help support the computational and technology needs of our researcher community through consultation, training, grant writing assistance, visualization services, and more.

Joe Paris

Joe Paris

Director, Research Computing Services

j-paris@northwestern.edu

Joe has over 15 years of experience in research technology development, support, and management in positions at Argonne National Laboratory and leadership roles at Northwestern University. At Northwestern, his efforts helped to bring about institution-wide changes in strategic planning that lead to the build-out of new research-focused services and resources in high-performance computing, storage, and visualization. His areas of interest and expertise include development of learning and training opportunities for student communities, sustainable funding models for academic research computing facilities, and execution of cross-organizational strategic initiatives. Joe received his Masters degree in Computer Science from Northwestern.

Jackie Milhans

Jackie Milhans

Manager, Computing and Data Support Services

milhans@northwestern.edu

Jackie leads research support in the areas of computing, data processing and analysis, data storage and workflow, and visualization. Her focuses include education and training, service planning and development, and on-going service support. In addition, she is responsible for aligning Research Computing Services with Northwestern's research needs through partnerships and coordination across the University. Her research background is in microstructure evolution and prediction of effective properties of heterogeneous and polycrystalline materials. She received her PhD in Materials Science and Engineering from Georgia Institute of Technology and completed her postdoc at Los Alamos National Laboratory.

Scott Coughlin

Scott Coughlin

Computing

s-coughlin@northwestern.edu
Scott Coughlin provides support for researchers who hope to leverage High Performance Computing to aid in their research. Scotty can help researchers in optimizing and deploying software and complicated workflows on these resources. He helps the community with creating computing environments within which to run their software and matching researchers to computing resources which most efficiently run their code. Scotty has a PhD in Physics and Astronomy from Cardiff University in Wales and is a Northwestern Alum!
Aaron Geller

Aaron Geller

Senior Interactive Visualization Specialist

a-geller@northwestern.edu

Aaron has a background in astrophysics research, and has been developing interactive multi-dimensional data visualizations for nearly a decade. Aaron is also a member of Northwestern's Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), and also works at the Adler Planetarium as an Astronomer. Prior to coming to Northwestern, Aaron received his PhD in Astronomy from the University of Wisconsin - Madison. Aaron most frequently works in Python, C, C++, Fortran and IDL, and he is always interested in learning new coding languages, visualization techniques and software. Aaron particularly enjoys the scientific discovery process that is inherent in both the development and use of scientific visualization software.
Jenni Hartman

Jenni Hartman

Research Lab Engineer

Jenni consults with researchers to properly and safely store, transfer, and archive data, as well as providing training and documentation on the various data management solutions available at the University. Her interests and specialties include cloud-based storage, identity & access management, Bash scripting, and Python programming. She has worked in various areas of IT for almost 10 years. She has worked as a systems administrator for a data science & predictive analytics start-up before coming to Northwestern. She received her undergraduate degree at Illinois State University, and is an AWS Certified Solutions Architect - Associate.
Alper Kinaci

Alper Kinaci

Senior Computational Specialist

akinaci@northwestern.edu

Alper Kinaci provides support for researchers in leveraging Northwestern and national computing resources such as Quest, National Science Foundation clusters (XSEDE), and cloud computing. Alper can help researchers in implementation, debugging and optimization of your calculations and workflows on these resources. He helps the community with on-boarding to new computing environments, mobilizing data, automation of simulations, code parallelization and scaling up in calculations. Alper is one of the XSEDE Campus Champions and he facilitates access for the first time users to test and optimize their software on XSEDE computers. Alper also collaborates with researchers to develop grant applications for funding and computing resources, such as XSEDE. Alper has a PhD in Materials Science from Texas A&M University and he is an alumnus of Argonne National Laboratory.
Christina Maimone

Christina Maimone

Research Data Services Lead

christina.maimone@northwestern.edu

Christina has over 10 years of experience leading and advising on quantitative and computational intensive social science research projects. She has a PhD in Political Science and a MS in Statistics from Stanford University. She most frequently works with R, Python, and SQL but supports a wide range of analytical software programs and languages. Christina particularly enjoys working with text data, automating research tasks, and creating custom research tools.
Aline Munyansanga

Aline Munyansanga

IT Program Administrator

a.munyansanga@northwestern.edu

Aline manages the Research Computing budget, and any projects that involve changing, growing and enhancing the services that researchers utilize. Her background is in project managment, process improvement and finance. Aline enojys managing the needs of multiple stakeholders and working with colleagues that span accross the university. Prior to coming to Research Computing she worked in the Health and Financial Industry. She received her BS in Political Science from University of Michigan and MS in Strategic Communication from Northwestern University.

Janna Nugent

Janna Nugent

Senior Bioinformatics Specialist

janna.nugent@northwestern.edu

Janna began working in the intersection of biology research and computer science at the University of Chicago, where she received her MS in Computer Science in 2015 before coming to Northwestern in 2016. Janna enjoys learning about research at Northwestern, helping researchers use computational methods in high-performance computing, and keeping an eye on technology trends as they relate to research. Janna teaches Python, Unix command line, Github, SQL and high-performance computing topics.
Arman Pazouki

Arman Pazouki

Lead Computational Specialist

pazouki@northwestern.edu

Arman oversees projects related to the development of new services and process improvements that support computational research. Prior to joining Research Computing Services at Northwestern, he served as an Assistant Professor at the California State University, Los Angeles, where he initiated and renovated research and teaching laboratories, engaged in institutional services and committees, and expanded the university’s research in the field of granular material, multibody dynamics, robotics, and partitioned and unified fluid-solid interaction models. Arman received his PhD in Mechanical Engineering from the University of Wisconsin-Madison.

Colby Witherup Wood

Colby Witherup Wood

Data Scientist

colby.witherup@northwestern.edu
Colby consults on data science projects both big and small, and she greatly enjoys working with researchers at all levels. She teaches workshops in Python, Git, Biopython, Spark, and more. Her research background is in comparative genomics and plant biology, and she has a BA, an MS, and is currently finishing a PhD, all from Northwestern University.

 

Students

Austin Alleman

Austin Alleman

Data Science Research Consultant

Austin Alleman is a PhD candidate in statistics, and recipient of a BS in mathematics and computer science. His current research focuses on techniques for clustering sequential data to analyze the change in groups over time, especially for visualizing evolution of ideologies based on text. He assists with consultations involving general purpose data storage and manipulation, visualization, and efficient modeling routines, particularly in R, Python, and SQL, but always leaps at the opportunity to work in a new language. Some of his favorite things about data science for research include the cathartic release of a successful debugging session, the sleekness of a reproducible project in a portable computing environment, and identifying opportunities to vectorize loops.
Andre Archer

Andre Archer

Data Science Research Consultant

Andre is a PhD student in the Engineering Sciences and Applied Mathematics department. In his research, he designs large scale mathematical models of metabolism. He also employs dimensionality reduction techniques as a means of simplifying the chemical reaction models. He has experience with machine learning, optimization, statistics and numerical methods in R, Python, MatLab, Mathematica and C.

Nate Coirier

Nate Coirier

Nate is a sophomore in the McCormick School of Engineering and Applied Sciences, and is studying for a BS/MS in Electrical Engineering. Nate provides technical support to researchers using Quest, primarily through troubleshooting general Quest usage issues and answering questions posed by Quest users. His interests in technology include sensors and measurement equipment, as well as the mathematical modeling of complex systems.
Katie Evans

Katie Evans

Data Science Research Consultant

Katie is a PhD candidate in the Interdisciplinary Biological Sciences program. Her research uses the roundworm nematode Caenorhabditis elegans to investigate how drug responses among individuals is driven by genetic variation. She primarily uses R to tidy, analyze, and visualize data, but also enjoys developing pipelines and applications to streamline common processes.
Andrew Hall

Andrew Hall

Data Science Research Consultant

Andrew is a PhD candidate in Personality, Development, and Health as well as an MS student in statistics at Northwestern University. His research focuses on the ways in which personality impacts and predicts outcomes in the health and business domains using machine learning methods. He supports faculty and graduate student researchers in the broad domain of computational social science, focusing on the use of computational methods in R, Python, SQL, and SPSS. Andrew also assists in data visualization, experimental design, and predictive modeling.
Darren Hsu

Darren Hsu

Data Science Research Consultant

Darren Hsu is a Ph.D. candidate in Physical and Computational Chemistry. His research is mainly focused on developing X-ray scattering techniques and intergrating X-ray scattering signal into molecular dynamics simulations for characterization of unfolded protein structures utilizing GPU computing power. He is particularly interested in optimizing code performance. He uses Python and Matlab for data processing and visualization, and C for simulations.
Carrie Stallings

Carrie Stallings

Graduate Student Consultant

Carrie Stallings is a first year PhD student at Northwestern University and a Native and Indigenous Studies Cluster fellow.  Her research interests include inequality, race & ethnicity, and computational and decolonial methodologies. In her work, she primarily uses R and Stata for statistical analysis and data visualization. Her current research focuses on income and wealth inequality, particularly on the roles that government and educational institutions play in the life outcomes of Black and Indigenous peoples. She is also a team member of the CoronaData U.S. team at Northwestern and uses R & R Shiny to scrape and visualize rapidly changing data about the social impacts of the most recent pandemic.
Dan Turner

Dan Turner

Graduate Student Consultant

Dan joined Northwestern in 2017 as a Linguistics Ph.D student. Previously, he taught courses in linguistics, writing, and journalism and conducted research in linguistics at the University of Minnesota Duluth. His current research interests include prosody, mental representations of sounds, and adaptation. He is familiar with R and Python, as well as various languages and statistical tools common in the social sciences.
Raymond Wang

Raymond Wang

High Performance Computing Consultant

Raymond Wang is a PhD candidate in Computational Chemistry. His research is mainly focused on data-driven materials design and discovery using machine learning, and developing parallel computing algorithms for quantum molecular systems. Raymondspecializes in high-performance computing, statistical learning, and parallel programming. He consults on Quest HPC services as well as data analytics.
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