ASHWINI NAIK
Computational Scientist - Image Analysis & Data Visualization
Chicago,IL
Summary
Ph.D. in Computer Science with expertise in Visual Data Science, Immersive Analytics, Human-Computer Interaction (HCI), and Spatial Computing. Experienced in building cutting-edge tools and conducting impactful research to enhance decision-making. Proficient in developing frameworks, leading teams, and translating ideas into innovative products.
Overview
2025
2025
years of professional experience
Work History
Computational Scientist
University of Chicago
4 2024 - Current
- Provide comprehensive support to the Provost Research Computing Center (RCC) in addressing high-performance computing (HPC) requirements, ensuring optimal performance and reliability for research initiatives
- Manage RCC's Data Visualization Lab, specializing in delivering innovative data visualization and image analysis solutions to advance university research outcomes
- Design and lead workshops on data visualization and digital art history, fostering skill development and empowering researchers with advanced visualization techniques
- Conduct research on cutting-edge technologies, including Omniverse and large-display systems, to develop state-of-the-art solutions for complex data visualization challenges
- Develop immersive and interactive visualization tools that enhance data interpretation, improve decision-making processes, and drive research innovation
- Demonstrate strong leadership by building and managing teams, mentoring junior engineers, and driving successful project execution
Graduate Researcher
University of Illinois Chicago
01.2017 - 04.2024
- Designed and implemented V-NeuroStack using Three.js, enabling visualization of dynamic communities, improving neuronal pattern recognition
- Developed and applied machine learning models e.g., sklearn, TensorFlow to analyze in vivo and in vitro neuronal data, enhancing pattern detection accuracy
- Guided over 50 students in mastering concepts like AR/VR development and computer graphics
- Designed the PSA framework for MR/VR conversation analysis using HoloLens2 and Quest2, enhancing researchers' data interpretation by 20%
- Organized and executed user studies n=12-59 with protocols improving feedback accuracy by 15%
- Investigated photorealism in AR for journalistic authenticity, influencing design guidelines in journalism
Data Visualization Ph.D. Intern
Epsilon Data Management LLC
05.2022 - 08.2022
- Conducted research on Macro Path to Purchase - Event Sequences, analyzing consumer behavior through advanced visualization
- Built interactive web components using state-of-the-art UI principles, improving user engagement with data insights
- Created API routes to streamline data accessibility for visualization components
Senior Test Engineer
Scientific Games
07.2012 - 12.2016
- Established and managed an Engineering Customer Support team for the India location, reducing support resolution times by 30%
- Created training plans and trained junior engineers, enhancing team competency
- Resolved field issues across jurisdictions, improving casino systems' revenue reliability
Automation Engineer
Olenick and Associates
07.2011 - 03.2012
- Enhanced and maintained the automation testing framework for CME Globex Trading Application
- Performed Acceptance and Regression Tests, increasing deployment confidence by 30%
- Conducted A/B testing, identifying key performance enhancements
Software Engineer
Birlasoft Ltd.
09.2007 - 03.2009
- Worked through the full SDLC, including analysis, SQL data mining, and defect tracking, enhancing system reliability
- Provided troubleshooting for Oracle-based Siebel applications, reducing downtime by 25%
Education
Ph.D. - Computer Science
University of Illinois At Chicago
Chicago, IL 05.2001 -
Master of Science - Computer Science
University of Illinois Chicago
05.2001 -
Bachelor of Engineering - Information Science
R.N.S. Institute of Technology
06-2007
Skills
C#
Selected Publications
- PSA: A Cross-Platform Framework for Situated Analytics in MR and VR, Naik, A.G., Johnson, A.E., IEEE ISMAR-Adjunct, Sydney, Australia, 2023
- Using Personal Situated Analytics (PSA) to Interpret Recorded Meetings, Naik, A.G., Johnson, A.E., ACM UIST'23 Adjunct, 2023
- V-NeuroStack: Open-source 3D time stack software for neuronal data, Naik, A.G., et al., Journal of Neuroscience Research, 2023
- Virtual Slots Game for Rehabilitation Exercises, Naik, A.G., et al., IEEE GEM, 2019
- V-NeuroStack: 3D Time Stacks for Finding Patterns in Spontaneous Activity of Neurons, Naik, A.G., et al., SfN, 2019
Timeline
Data Visualization Ph.D. Intern
Epsilon Data Management LLC
05.2022 - 08.2022
Graduate Researcher
University of Illinois Chicago
01.2017 - 04.2024
Senior Test Engineer
Scientific Games
07.2012 - 12.2016
Automation Engineer
Olenick and Associates
07.2011 - 03.2012
Software Engineer
Birlasoft Ltd.
09.2007 - 03.2009
Ph.D. - Computer Science
University of Illinois At Chicago
05.2001 -
Master of Science - Computer Science
University of Illinois Chicago
05.2001 -
Computational Scientist
University of Chicago
4 2024 - Current
Bachelor of Engineering - Information Science
R.N.S. Institute of Technology
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