Research Computing Group

maureen.donlin@health.slu.edu

Maureen Donlin trained as a bench scientist (Ph.D. Molecular Biology, Pennsylvania State University, 1991) and is a self-taught bioinformatician. She has been with SLU since 1998 and has collaborated with researchers within and outside of SLU to provide bioinformatics support for projects across several disciplines. This work has resulted in over 40 co-authored publications. In addition, Donlin has been a co-investigator on 17 NIH grants and co-PI on one NIH R01. Donlin has served as an informal liaison between the basic science departments in the SLU School of Medicine and SLU IT since 2001, drawing on her skills in both bench science and computational work. This role was formalized in 2020 when she was appointed the interim director of research computing. As the RCG director, Donlin provides consulting on the technical and computational needs of researchers across the campus. She has managed the merging of two on-prem HPCs into one system, including upgrades to network and storage. She has overseen the move of several production workloads to cloud computing. Donlin helped write a successful NSF application to build a new HPC with modern CPU and GPU nodes in support of AI/ML research at SLU.

shruthi.sreenivasamurthy@health.slu.edu

Shruthi Sreenivasa Murthy holds a master’s degree from the University of Missouri–St. Louis (UMSL) and a bachelor’s degree in computer science from Bangalore University. With over 10 years of experience, she joined SLU in October 2019 as a data scientist in the Biochemistry and Molecular Biology Research Lab. She later transitioned to the RCG as a solutions architect. In 2023, she was promoted to assistant director – research computing. In 2024, she was recognized as an AWS Champion for her contributions to cloud transformation in research computing.
 
In her role, she focuses on designing secure and scalable cloud infrastructures to meet SLU’s research needs. Her projects include migrating REDCap to AWS to ensure HIPAA compliance and scalability; building a centralized system to manage digital microscopy data; building a secure research environment for the SLU Liver Center, and supporting the Sinquefield Center for Applied Economic Research by architecting advanced data pipelines. These initiatives have supported significant research efforts at SLU.
 
Her work has modernized SLU’s research infrastructure, fostered collaboration, and ensured compliance with security standards. She continues to play a key role in aligning technical solutions with academic research to support SLU’s research initiatives.

patrick.m.cuba@slu.edu

Patrick Cuba has 15 years of experience developing research software and projects focused around digital humanities and cultural heritage. Among many completed projects for manuscript studies, textual and image annotation, teaching and instruction, and collaboration with Linked Open Data. He is active in the communities for Web Annotation and the International Image Interoperability Framework. Cuba supports the Rerum Community and ecosystem of tools, including the public RERUM repository service, Tiny Things API bootstrap, DEER exhibition and forms framework, geolocation tools, and Rerum Inbox, a Linked Data Notification service.

As a developer on the original Transcription for Paleographical and Editorial Notation (TPEN) project in 2010, Cuba has designed many funded projects since that have extended or ported TPEN functionality into environments for codicology, glyph recognition, manuscript reconstruction, critical edition creation, training in paleography, and student instruction. A currently funded project targets a 2026 release for TPEN 3.0, which integrates the TPEN platform with the Rerum ecosystem, improving its suitability for the research partners at SLU and around the globe as well as across more academic domains.

With a B.A. in philosophy and religion and English (Truman State University) and M.S. in computer science (SLU), he supports his experience of designing for paleographers and medievalists with the training to read French, Latin, Greek, and academic discourse.

bryan.j.haberberger@slu.edu

Bryan Haberberger obtained a B.A. in computer science from SLU in 2013. He began his professional life in 2013 under Digital Theology and was promptly exposed to scholarly driven research projects and how software benefits the research process. By 2018 he had completed a major upgrade to TPEN, known to the public as TPEN 2.8, and started to improve the shared RERUM infrastructure to enable rapid development and deployment of custom research applications.  He manages this infrastructure as more software is designed to use it. The theory behind it has been proven, and it has become the foundation for active software development in RCG.

He continues to influence and implement standards in the Linked Open Data landscape. He has worked with students, scholars, and peers at the intersection of research and software ingenuity, promoting best practices and standardized solutions that are reusable across various fields in the sciences, arts and humanities. He published web standards and guides as a IIIF Maps Technical Specification Group Co-Chair, Cookbook Author, and Technical Resource Committee representative.

priyaldharmendra.patel@slu.edu

Priyal Patel is the full-time developer for the TPEN 3.0 project with a master's in computer science from SLU. With over two years of experience in front-end development and data integration, she is skilled in JavaScript, React.js, Snowflake, and AWS, and has a strong track record of improving website performance and optimizing data workflows. Previously at Tata Consultancy Services, she enhanced data processes and efficiency and has developed full-stack applications like the Tomato and Polygot websites. She is passionate about advancing user engagement and driving technological innovation in research.