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Passionate researcher with a specialization in Deep Learning and computer vision. Dedicated and creative innovator with an analytical, detail oriented mindset and a keen eye for results. Leverages strong communication and leadership skills to build relationships spanning multiple departments and areas of discipline. A quick learner with an aptitude for, both, programming and writing who thrives when working in a dynamic, fast paced environment.
Passionate researcher with a specialization in Deep Learning and computer vision. Dedicated and creative innovator with an analytical, detail oriented mindset and a keen eye for results. Leverages strong communication and leadership skills to build relationships spanning multiple departments and areas of discipline. A quick learner with an aptitude for, both, programming and writing who thrives when working in a dynamic, fast paced environment.
Studied psychology and business at the University of Connecticut followed by a masters in data analytics from the University of Central Florida (UCF) while working full-time as a Data Scientist at Sophos. Worked on big data and machine learning projects for several years in cyber-security. Graduated with my PhD from the CRCV lab at UCF, No. 10 nationally for research in computer vision. Research is focused on visual-language deep learning methods.
Recent News
Recent News
March 2023: Paper Accepted into CVPR 2023
December 2022: Survey accepted into ACM Computing Surveys (CSUR)
September 2022: Paper Accepted into NeurIPs Dataset and Benchmarks Track 2022
October 2022: Paper Accepted into BigMM Workshop 2022
Research Focus
Research Focus
Model robustness
How is model performance affected by real-world distribution shifts?
Model "understanding"
How well do models learn underlying concepts of the "world" around them?
Visual-language models
The combination of langauge and vision in modelling efforts.
Published Works
Published Works
Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
NuerIPs Dataset and Benchmark Track (2022)
Schiappa, M. C., & Rawat, Y. S.
BigMM (2022)
Schiappa, M., Chantry, G., & Garibay, I.
In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS) (pp. 13-20). IEEE. (2019)
Bidoki, N. H., Schiappa, M., Sukthankar, G., & Garibay, I.
In International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation. Springer. (2019)
Kathleen Walker, Dr. Sreerupa Das, Madeline Schiappa
Women in Data Science (WiDS) Conference. Orlando. (March 4, 2019)
Awards, Fellowships and Grants
Awards, Fellowships and Grants
September 2022: UCF Graduate Presentation Fellowship, Neural Information Processing Systems (NeurIPs) 2022
September 2022: NeurIPs 2022 Scholar Award, Neural Information Processing Systems (NeurIPs) 2022
November 2019: UCF Graduate Presentation Fellowship, Conference on Social Network Analysis, Management and Security (SNAMS) 2019
July 2019: UCF Graduate Presentation Fellowship, International Conference on Computational Social Simulation
March 4 2019: Panel speaker at Women in Data Science Conference in Orlando, FL
August 2018-August 2019: OCR Fellowship, University of Central Florida (UCF)
Professional Experience and Skills
Professional Experience and Skills
Skills
Computer Vision
Big Data
Analytical Writing/Reading
Data Visualization
Python
Deep Learning Frameworks (e.g. PyTorch)
Statistical Analysis
Communicating Research Insights
Experience
PhD Candidate
University of Central Florida • Orlando, FL
08/2018-08/2023
A current PhD student specializing in robustness and visual-language Deep Learning methods. Has worked on projects in: benchmarking, autonomous driving, unsupervised learning, graph neural networks, natural language processing, and self-supervised learning.
Extensively uses Python and deep learning frameworks like Pytorch to develop models.
Benchmarking and analyzing existing foundational models.
Read, write, debug and modify a variety of code.
Conducts data collection, cleaning, processing, and analyzing of large datasets.
Analytical writing and reading from the research field of deep learning and computer vision.
Presents and communicates research ideas and analysis at conferences.
Data Scientist
Sophos • Remote
10/2015-09/2018
Big Data management using Hadoop, AWS, and other tools on a daily basis. SQL queries to manage our Datameer service regularly.
Generated analytical reports and visualizations.
Developed automatic workflows to produce analytical reports.
Research focused on product improvement, malware classification and threat landscape.
Big data analysis on Sophos product and detection feeds.
Worked on a team of Data scientists focusing on deep learning to detect malicious content in portable executables, documents, web content and more.
Big data management, collection, workflow and analysis.
Managed Agile Transformation for Labs Data Science team.
Researched, implemented and evaluated malware detecting machine learning models.
Used skills in: Deep Learning, Python, AWS, SQL, JS, and more.
Social Media Analysis, Intern
Sophos • Burlington, MA
06/2015-10/2015
Research focused on branding, fostering employee engagement and increasing scope of social media prescence.
Collected data and ran analytics on Sophos and competitors' social media platforms.
Managed data collection on recruitment.
Developed surveys and analyzed results on several topics such as the internship program and social media use of employees.
Teaching/Research Assistant
University of Connecticut • Storrs, CT
08/2014-05/2015
Taught multiple class of 20+ students in psychology and principles of resarch: basic statistical analysis, research design and development, and statistical tools like SPSS/R.
Conducted research on the following:
Researched team cohesiveness, supervisor relations and incivility, cooperation versus comptetition and motivation in an organizational context.
Worked with Uconn School of Business: John Mathieu, Team Dynamics and Leadership
Worked with: Uconn Industrial Psychology: Vicki Magley, Felicia Pratto and Steven Mellor.
Education
PhD Candidate in Computer Science
University of Central Florida • Orlando, FL
Ongoing
Conducting research towards a PhD in computer science focusing on Computer Vision. Focus is on Visual-Language modeling in areas of robustness and understanding.
Masters of Science in Data Analytics
University of Central Florida • Orlando, FL
05/2018
Joint program between computer science and statistics.
Graduated with a 3.88 GPA.
Psychology and International Business Management
University of Connecticut • Storss, CT
05/2014
Bachelor of Science in International Business management Magna Cum Laude with a GPA of 3.82.
Bachelor of Arts in Psychology Summa Cum Laude with a gpa of 3.99.
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