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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.

Philip R. Burns

Philip R. Burns

Senior AT Software Developer

pib@northwestern.edu

Philip possesses broad experience with humanities computing, natural language processing, databases, statistical analysis guidance, and computer programming in support of research activities. He has programmed computers for almost 50 years. Examples of his humanities computing activities include the Mellon-funded WordHoard, Monk, MorphAdorner, and EarlyPrint projects.  Philip also developed the Text Services suite, used for analyzing the content of discussion forums in courses and MOOCs at Northwestern University.  Earlier in his career he authored several statistical procedures for SPSS and SCA. His educational background is in mathematics, computer science, and English literature.
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.
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.

 

Dusan Ramljak

Dusan Ramljak

Computational and Data Science Workshop Facilitator

Dusan brings a unique combination of research, industry and teaching experience. He has over 9 years of experience as Data Scientist, most recently working on NSF IUCRC projects with companies like HPE, Dell, Huawei, and others. He has more than 20 years of experience as system administrator facilitating business and research in various universities and institutes in USA, Portugal, and Serbia. Besides STEM teaching experience, he has been teaching martial arts and dance. He earned his PhD in Data Science applied on storage systems problems at Temple University. His research interests include solving challenging storage systems problems related to provenance and caching by developing and integrating distributed and parallel data mining and statistical learning technology for an efficient knowledge discovery at large sequence and temporal databases.
Matthew Rich

Matthew Rich

Senior Cloud Services Specialist

m-rich@northwestern.edu

Matthew has been a software developer and UNIX administrator since 1999. He holds a BS from Georgetown University and a Masters in Financial Markets from the Illinois Institute of Technology. He worked in the futures industry before coming to Northwestern in 2007 and specializes in Python programming, automation, and cloud services. He enjoys applying his technical skills to new domains, helping researchers automate and scale their workflows, and teaching computational skills.

Students

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.
Laura Garcia

Laura Garcia

Data Science Research Consultant

Laura is a PhD candidate in Political Science and she is also finishing her Masters in Statistics at Northwestern University. Her research interests are in the fields of Comparative Politics and Research Methodology. Within Comparative Politics, I am interested in the history of socio-economic inequality in Latin America.  My interests in research methodology are broadly in the use of mixed-methods. In particular, I am interested in theories of causality associated with multi-methods research. I support faculty and students with research projects that involve computational and statistical methods in R and Stata, as well as data visualization.
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.

Colby Witherup

Colby Witherup

Data Science Research Consultant

Colby is a PhD candidate in Plant Biology and Conservation. She uses bioinformatics and phylogenomics to study the evolution of meiosis across the plant kingdom. Previously, she completed an MS degree at Northwestern, researching the genetic diversity of jackfruit throughout Bangladesh. She consults on questions involving Python and bioinformatics, and she enjoys helping others to streamline their analyses with pipelines and parallelization. She also recently began learning Spark and TensorFlow.

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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