M. Clara De Paolis Kaluza [email protected] claradepaolis.com

Research Interests Summarization for big structured data, generative models for structured data, neural combinatorial optimization, geometric deep learning, structured prediction, video understanding.

Education PhD, Computer Science Northeastern University Boston, MA 2016 – Present Advised by Predrag Radivojac

Master of Science, Electrical Engineering 2016 Tufts University Medford, MA Markov Random Field Models for Quantifying Uncertainty in Subsurface Remediation Advised by Eric Miller

Bachelor of Science, Electrical Engineering 2010 Boston University, Boston, MA

Publications • Fan Xie, Alex Chowdhury, M. Clara De Paolis Kaluza, Lingfeng Zhao, Lawson Wong, Rose Yu. “Deep Imitation Learning for Bimanual Robotic Manipulation.” Advances in Neural Information Processing Systems (NeurIPS), 2020. • M. Clara De Paolis Kaluza, Saeed Amizadeh, Rose Yu. “A Neural Framework for Learning DAG to DAG Translation.” Advances in Neural Information Processing Systems (NeurIPS), Relational representation learning workshop, 2018. • Ehsan Elhamifar, M. Clara De Paolis Kaluza. “Subset Selection for Sequential Data.” Ad- vances in Neural Information Processing Systems (NeurIPS), 2017. [21% acceptance rate] • Ehsan Elhamifar, M. Clara De Paolis Kaluza. “Online Subset Selection via Submodular and Convex Optimization.” The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.[29% acceptance rate] • Alexander G Bruno, Hossein Mokhtarzadeh, Brett T Allaire, Kelsey R Velie, M. Clara De Pao- lis Kaluza, Dennis E Anderson, Mary L Bouxsein. “Incorporation of CT-based measurements of trunk anatomy into subject-specific musculoskeletal models of the spine influences vertebral loading predictions.” Journal of Orthopaedic Research, 2017. • Brett T Allaire, M. Clara De Paolis Kaluza, Alexander G Bruno, Elizabeth J Samelson, Douglas P Kiel, Dennis E Anderson, Mary L Bouxsein. “Evaluation of a new approach to compute intervertebral disc height measurements from lateral radiographic views of the spine.” European Spine Journal, 2016. • M. Clara De Paolis Kaluza, Eric L. Miller, Linda M. Abriola. “Markov Random Field Models for Quantifying Uncertainty in Subsurface Remediation.” In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015. • M. Clara De Paolis Kaluza, Sutawat Poomcharoenwatana. “Content-Aware Video-Frame Resizing Using Seam Carving.” Technical report ECE-2009-07, Electrical and Computer Engi- neering, Boston University. 2009

Employment IBM Research, Yorktown Heights, NY; Cambridge, MA Research Intern October 2019 – December 2019 Research internship project in dynamic graph embedding. Advised by Lingfei Wu

Nvidia Research, Santa Clara, CA Research Intern February 2019 – September 2019 Research internship project in graph sequence modeling for robot task planning. Advised by Anima Anandkumar

Microsoft Research, Redmond, WA Research Intern May 2018 – September 2018 Research internship project in graph-to-graph deep neural networks for encoding and synthesis of directed acyclic graphs, a generalization of sequence translation models. Advised by Saeed Amizadeh

Beth Israel Deaconess Medical Center, Boston, MA Center for Advanced Orthopaedic Studies Research Assistant II July 2012 – August 2013 Developed image processing and analysis tools for CT images for various research projects, including spine curvature and muscle measures for over 2100 participants in longitudinal study of kyphosis. Developed new technique for measuring intervertebral disc height robust to vertebral shape, elimi- nating the need to exclude measurements adjacent to vertebral fractions. Advised by Mary Bouxsein

Hebrew SeniorLife, Boston, MA Institute for Aging Research Imaging Research Associate September 2010 – July 2012 Quantitatively analyzed bone measures of the lumbar spine in a large cohort with quantitative computed tomography (qCT) images for genetic study of osteoporosis. Developed data evaluation and validation protocols.

Boston University, Boston, MA Information Systems & Sciences Lab- Multimedia Processing Group Research Assistant May – August 2009 Research on action recognition and abnormal behavior detection. Expanded dataset of synchronized multi-angle footage of natural scenes to test model robustness. Advised by Janusz Konrad Awards and Honors • 2019 NeurIPS 19 Travel Award • 2019 WiML 19 Travel Award • 2018 GHC 18 Student Scholar: 2018 Grace Hopper Celebration, AnitaB.org • 2017 Conference Travel Award: Northeastern Univ., College of Computer and Info. Science • 2016 Graduate Fellowship: Northeastern Univ., College of Computer and Info. Science • 2016 ETA KAPPA NU: IEEE Honor Society, Tufts University chapter • 2014 GRFP Honorable Mention: National Science Foundation • 2012 Latino Achievement Award: Beth Israel Deaconess Medical Center

Professional Activities • Reviewer: Journal of Machine Learning Research (JMLR) AAAI Conference on Artificial Intelligence (AAAI) 2020, 2021 Advances in Neural Information Processing Systems (NeurIPS) 2019, 2020 International Conference on Machine Learning (ICML) 2019 International Conference on Learning Representations (ICLR) 2021 Workshops: NeurIPS 2018: Modeling and decision-making in the spatiotemporal domain ICML 2019: Time Series Workshop AAAI 2020: Deep Learning on Graphs: Methodologies and Applications

Teaching Activities • Fall 2020 Teaching Assistant Machine Learning Khoury College of Computer Science, Northeastern University. • Spring 2020 Teaching Assistant Advanced Machine Learning Khoury College of Computer Science, Northeastern University. • Spring 2019 Guest Lecture “Deep Learning on Graphs” Deep Learning College of Computer and Information Science, Northeastern University. • Fall 2018 Guest Lecture Machine Learning College of Computer and Information Science, Northeastern University. • Fall 2011 Volunteer Citizen Teacher Medical Imaging Citizen Schools, Washington Irving Middle School. • Spring 2010 Lab Teaching Assistant Digital Signal Processing College of Engineering, Boston University. Outreach Activities • Panelist Benefits of a Pursuing a PhD Workshop for MS students, College of Computer and Information Science, Northeastern University, Fall 2017 • Volunteer Women in Computer Science Open House for prospective undergraduates, College of Computer and Information Science, Northeastern University, Fall 2017 • Director of University Relations Society of Hispanic Professional Engineers, Boston Profes- sional Chapter, 2011 – 2015 • Judge Massachusetts Science & Engineering Fair (MSSEF), May 2013 • Student Advisor Boston University, College of Engineering, 2009 – 2010 • Founder/Teacher After-school science club, City on a Hill Charter Public Schools- Circuit Street, 2009 • Summer Tutor Upward Bound, Boston University, Summer 2009