Sutanay Choudhury

86 papers A* 6A 5B 1C 2Misc 2Journal 42Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. HPDC Jesun Sahariar Firoz, Franco Pellegrini, Mario Geiger, Darren Hsu, Jenna A. Bilbrey, Han-Yi Chou, Maximilian Stadler, Markus Höhnerbach, Tingyu Wang, Dejun Lin, Emine Küçükbenli, Henry W. Sprueill, Ilyes Batatia, Sotiris S. Xantheas, MalSoon Lee, Christopher J. Mundy, Gábor Csányi, Justin S. Smith, Ponnuswamy Sadayappan, Sutanay Choudhury
2025	J	`jnl`	Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE. CoRR Jesun Firoz, Franco Pellegrini, Mario Geiger, Darren Hsu, Jenna A. Bilbrey, Han-Yi Chou, Maximilian Stadler, Markus Hoehnerbach, Tingyu Wang, Dejun Lin, Emine Küçükbenli, Henry W. Sprueill, Ilyes Batatia, Sotiris S. Xantheas, MalSoon Lee, Chris Mundy, Gábor Csányi, Justin S. Smith, Ponnuswamy Sadayappan, Sutanay Choudhury
2024	J	`jnl`	Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units. J. Chem. Inf. Model. Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Henry Sprueill, Kristina M. Herman, Mario Michael Krell, Tom Murray, Manuel Lopez Roldan, Mike Kraus, Ang Li, Payel Das, Sotiris S. Xantheas, Sutanay Choudhury
2024	A*	`conf`	CHEMREASONER: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. ICML Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury
2024	J	`jnl`	ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback. CoRR Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, Sutanay Choudhury
2024	—	`conf`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2024	A*	`conf`	Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
2024	—	`conf`	GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. AAAI Spring Symposia Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury
2024	J	`jnl`	GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. CoRR Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga, Michael Henry, Sutanay Choudhury
2024	J	`jnl`	Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events. CoRR Stefan Dernbach, Alejandro Michel, Khushbu Agarwal, Christopher Brissette, Geetika Gupta, Sutanay Choudhury
2023	A*	`conf`	A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
2023	A	`conf`	BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. ICS Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
2023	J	`jnl`	BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs. CoRR Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Sutanay Choudhury, Ang Li
2023	—	`conf`	Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster
2023	J	`jnl`	Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster
2023	J	`jnl`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2023	—	`conf`	MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators. WWW (Companion Volume) Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Suzanne Tamang
2023	—	`conf`	Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. EMNLP (Findings) Henry Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury
2023	J	`jnl`	Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design. CoRR Henry W. Sprueill, Carl Edwards, Mariefel V. Olarte, Udishnu Sanyal, Heng Ji, Sutanay Choudhury
2023	J	`jnl`	Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
2022	—	`conf`	Attention-based aspect reasoning for knowledge base question answering on clinical notes. BCB Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2022	J	`jnl`	Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry. CoRR Hatem Helal, Jesun Firoz, Jenna A. Bilbrey, Mario Michael Krell, Tom Murray, Ang Li, Sotiris S. Xantheas, Sutanay Choudhury
2022	J	`jnl`	Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. IEEE Access Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022	J	`jnl`	Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction. CoRR Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
2022	—	`conf`	Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury
2022	J	`jnl`	Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
2022	J	`jnl`	Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators. CoRR Jenna A. Bilbrey, Kristina M. Herman, Henry Sprueill, Sotiris S. Xantheas, Payel Das, Manuel Lopez Roldan, Mike Kraus, Hatem Helal, Sutanay Choudhury
2022	J	`jnl`	TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang
2021	J	`jnl`	Attention-based Aspect Reasoning for Knowledge Base Question Answering on Clinical Notes. CoRR Ping Wang, Tian Shi, Khushbu Agarwal, Sutanay Choudhury, Chandan K. Reddy
2021	J	`jnl`	Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19. CoRR Logan T. Ward, Jenna A. Bilbrey, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman
2021	J	`jnl`	Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
2021	—	`conf`	Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach. CDC Sai Pushpak Nandanoori, Seemita Pal, Subhrajit Sinha, Soumya Kundu, Khushbu Agarwal, Sutanay Choudhury
2021	J	`jnl`	Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates. CoRR Jenna A. Bilbrey, Logan T. Ward, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman
2021	J	`jnl`	GEDet: Detecting Erroneous Nodes with A Few Examples. Proc. VLDB Endow. Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu
2021	A*	`conf`	Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. WWW Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
2021	Misc	`conf`	Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
2020	J	`jnl`	HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data. CoRR Sutanay Choudhury, Jenna A. Bilbrey, Logan T. Ward, Sotiris S. Xantheas, Ian T. Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting
2020	—	`conf`	Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. SmartGridComm Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury
2020	J	`jnl`	Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes. CoRR Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Sutanay Choudhury
2020	J	`jnl`	Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. CoRR Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy
2019	J	`jnl`	Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach. CoRR Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred O. Hero III, Indrajit Ray
2019	J	`jnl`	Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics. CoRR Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki, Sutanay Choudhury, Suzanne Tamang, Robert Rallo
2018	—	`conf`	A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism. IEEE BigData Patrick Mackey, Katherine Porterfield, Erin Fitzhenry, Sutanay Choudhury, George Chin Jr.
2018	J	`jnl`	A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism. CoRR Patrick Mackey, Katherine Porterfield, Erin Fitzhenry, Sutanay Choudhury, George Chin Jr.
2018	—	`conf`	HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase. TAC Cliff A. Joslyn, Michael Robinson, J. Smart, Khushbu Agarwal, David Bridgeland, Adam Brown, Sutanay Choudhury, Brett A. Jefferson, Brenda Praggastis, Emilie Purvine, William P. Smith, Dimitri Zarzhitsky
2018	A	`conf`	Percolator: Scalable Pattern Discovery in Dynamic Graphs. WSDM Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal
2017	—	`conf`	Application-specific graph sampling for frequent subgraph mining and community detection. IEEE BigData Sumit Purohit, Sutanay Choudhury, Lawrence B. Holder
2017	A*	`conf`	NOUS: Construction and Querying of Dynamic Knowledge Graphs. ICDE Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas
2017	A	`conf`	When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CIKM Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit
2017	J	`jnl`	When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes. CoRR Arun V. Sathanur, Sutanay Choudhury, Cliff A. Joslyn, Sumit Purohit
2016	Misc	`conf`	Multi-centrality graph spectral decompositions and their application to cyber intrusion detection. ICASSP Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III
2016	J	`jnl`	NOUS: Construction and Querying of Dynamic Knowledge Graphs. CoRR Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, William P. Smith, Mathew Thomas
2016	—	`conf`	ParLearning Introduction and Committees. IPDPS Workshops Charalampos Chelmis, Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Weiqin Tong, Yinglong Xia
2016	J	`jnl`	Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs. CoRR Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera
2015	B	`conf`	A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. EDBT Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
2015	J	`jnl`	A Selectivity based approach to Continuous Pattern Detection in Streaming Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Khushbu Agarwal, John Feo
2015	—	`conf`	Action Recommendation for Cyber Resilience. SafeConfig@CCS Sutanay Choudhury, Luke Rodriguez, Darren S. Curtis, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray
2015	A*	`conf`	DEMO: Action Recommendation for Cyber Resilience. CCS Luke Rodriguez, Darren S. Curtis, Sutanay Choudhury, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray
2015	J	`jnl`	Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection. CoRR Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III
2015	—	`conf`	ParLearning Introduction and Committees. IPDPS Workshops Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Yinglong Xia
2014	J	`jnl`	Benchmarking Named Entity Disambiguation approaches for Streaming Graphs. CoRR Sutanay Choudhury, Chase Dowling
2014	—	`conf`	Frequent Subgraph Discovery in Large Attributed Streaming Graphs. BigMine Abhik Ray, Larry Holder, Sutanay Choudhury
2014	—	`conf`	Parallel Heuristics for Scalable Community Detection. IPDPS Workshops Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman, Sutanay Choudhury
2014	—	`conf`	Parasol: An Architecture for Cross-Cloud Federated Graph Querying. DanaC@SIGMOD Michael D. Lieberman, Sutanay Choudhury, Marisa Hughes, Dennis Patrone, Robert T. Hider Jr., Christine D. Piatko, Matthew Chapman, J. P. Marple, David Silberberg
2014	—	`conf`	Predicting and detecting emerging cyberattack patterns using StreamWorks. CISR George Chin Jr., Sutanay Choudhury, John Feo, Lawrence B. Holder
2014	J	`jnl`	Query Optimization for Dynamic Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Patrick Mackey, Khushbu Agarwal, John Feo
2014	J	`jnl`	Scaling Semantic Graph Databases in Size and Performance. IEEE Micro Alessandro Morari, Vito Giovanni Castellana, Oreste Villa, Antonino Tumeo, Jesse Weaver, David Haglin, Sutanay Choudhury, John Feo
2014	—	`—`	Subgraph Search for Dynamic Graphs. Sutanay Choudhury
2014	J	`jnl`	Toward a data scalable solution for facilitating discovery of science resources. Parallel Comput. Jesse Weaver, Vito Giovanni Castellana, Alessandro Morari, Antonino Tumeo, Sumit Purohit, Alan R. Chappell, David Haglin, Oreste Villa, Sutanay Choudhury, Karen Schuchardt, John Feo
2013	J	`jnl`	Fast Search for Dynamic Multi-Relational Graphs. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
2013	—	`conf`	Fast search for dynamic multi-relational graphs. DyNetMM@SIGMOD Sutanay Choudhury, Lawrence B. Holder, John Feo, George Chin Jr.
2013	—	`conf`	Massive scale cyber traffic analysis: a driver for graph database research. GRADES Cliff A. Joslyn, Sutanay Choudhury, David Haglin, Bill Howe, Bill Nickless, Bryan Olsen
2013	—	`conf`	ParLearning Introduction. IPDPS Workshops Sutanay Choudhury, George Chin Jr., Yinglong Xia
2013	J	`jnl`	StreamWorks - A system for Dynamic Graph Search. CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
2013	—	`conf`	StreamWorks: a system for dynamic graph search. SIGMOD Conference Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., Abhik Ray, Sherman Beus, John Feo
2013	—	`conf`	Toward a data scalable solution for facilitating discovery of scientific data resources. DISCS@SC Alan R. Chappell, Sutanay Choudhury, John Feo, David J. Haglin, Alessandro Morari, Sumit Purohit, Karen Schuchardt, Antonino Tumeo, Jesse Weaver, Oreste Villa
2013	J	`jnl`	Towards a Networks-of-Networks Framework for Cyber Security CoRR Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
2013	C	`conf`	Towards a network-of-networks framework for cyber security. ISI Mahantesh Halappanavar, Sutanay Choudhury, Emilie Hogan, Peter Hui, John R. Johnson, Indrajit Ray, Lawrence B. Holder
2012	J	`jnl`	Large-scale continuous subgraph queries on streams CoRR Sutanay Choudhury, Lawrence B. Holder, George Chin Jr., John Feo
2012	—	`conf`	ParLearning Introduction. IPDPS Workshops Sutanay Choudhury, George Chin Jr., Yinglong Xia
2012	J	`jnl`	Scalable Triadic Analysis of Large-Scale Graphs: Multi-Core vs. Multi- Processor vs. Multi-Threaded Shared Memory Architectures. CoRR George Chin Jr., Andrés Márquez, Sutanay Choudhury, John Feo
2012	C	`conf`	Scalable Triadic Analysis of Large-Scale Graphs: Multi-core vs. Multi-processor vs. Multi-threaded Shared Memory Architectures. SBAC-PAD George Chin Jr., Andrés Márquez, Sutanay Choudhury, John Feo
2011	—	`conf`	Evaluating In-Clique and Topological Parallelism Strategies for Junction Tree-Based Bayesian Network Inference Algorithm on the Cray XMT. IPDPS Workshops George Chin Jr., Sutanay Choudhury, Lars Kangas, Sally McFarlane, Andrés Márquez
2010	J	`jnl`	Applications in Data-Intensive Computing. Adv. Comput. Anuj R. Shah, Joshua N. Adkins, Douglas J. Baxter, William R. Cannon, Daniel G. Chavarría-Miranda, Sutanay Choudhury, Ian Gorton, Deborah K. Gracio, Todd D. Halter, Navdeep Jaitly, John R. Johnson, Richard T. Kouzes, Matthew C. Macduff, Andrés Márquez, Matthew E. Monroe, Christopher S. Oehmen, William A. Pike, Chad Scherrer, Oreste Villa, Bobbie-Jo M. Webb-Robertson, Paul D. Whitney, Nino Zuljevic
2010	—	`conf`	Fault Detection in Distributed Climate Sensor Networks Using Dynamic Bayesian Networks. eScience George Chin Jr., Sutanay Choudhury, Lars Kangas, Sally McFarlane, Andrés Márquez
2009	A	`conf`	Implementing and evaluating multithreaded triad census algorithms on the Cray XMT. IPDPS George Chin Jr., Andrés Márquez, Sutanay Choudhury, Kristyn J. Maschhoff