Research Papers
Peer-Reviewed Papers and Conference Papers, IMO, Moffitt Cancer Center
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Learning Model Parameter Dynamics in a Combination Therapy for Bladder Cancer from Sparse Biological Data, NeurIPS 2025 Workshop on Learning from Time Series for Health
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Race-based differences in serum biomarkers for cancer-associated cachexia in a diverse cohort of patients with pancreatic ductal adenocarcinoma, Commun Med, 2025
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LinG3D: Visualizing the spatio-temporal dynamics of clonal evolution, BMC Bioinformatics, 2024, 25(201)
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Preprints and Papers under review, IMO, Moffitt Cancer Center
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MoCaPS: A Machine Learning Model for Stratification of Cancer-Associated Cachexia Based on Blood Biomarkers, medRxiv 2025.12.23.25342866
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PETIL: Predicting Expansion of Tumor Infiltrating Lymphocytes for the Adoptive Cell Immunotherapy in Bladder Cancers, BioRxiv, 2026
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Modeling Adoptive Cell Therapy in Bladder Cancer from Sparse Biological Data using PINNs, arXiv:2510.13431, 2025
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Machine Learning-Based Identification of Blood Biomarkers that Distinguish Precachectic and Cachectic Patients with Pancreatic Ductal Adenocarcinoma, medRxiv 2025.12.23.25342866, 2025
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Papers and Preprints during PhD
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Learning Differential Equations from Data, arXiv:2205.11483, 2022
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Multi-Variant COVID-19 Model with Heterogeneous Transmission Rates Using Deep Neural Networks, arXiv:2205.06834, 2022
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Data-Driven Deep-Learning Algorithm for Asymptomatic COVID-19 Model with Varying Mitigation Measures and Transmission Rate, Epidemiologia, 2021, 2(4), 471-489
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Data-Driven Deep Learning Algorithms for Time-Varying Infection Rates of COVID-19 and Mitigation Measures, arXiv:2104.02603, 2021
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