Journals

• A. Mezlini, A. Shapiro, E. Daza, E. Caddigan, E. Ramirez, T. Althoff, L. Foschini. Estimating the Burden of Influenza-like Illness on Daily Activity at the Population Scale Using Commercial Wearable Sensors, JAMA Network Open (2022).
• S. M. Goodday, E. Karlin, A. Brooks, C. Chapman, D. R. Karlin, L. Foschini, E. Kipping, M. Wildman, M. Francis, H. Greenman, Li Li, E. Schadt, M. Ghassemi, A. Goldenberg, F. Cormack, N. Taptiklis, C. Centen, S. Smith, S. Friend. Better Understanding of the Metamorphosis of Pregnancy (BUMP): Protocol for a Digital Feasibility Study in Women From Preconception to Postpartum. NPJ Digital Medicine (2022).
• N. Tavabi, D. Stück, A. Signorini, C. Karjadi, T. Al Hanai, M. Sandoval, C. Lemke, J. Glass, S. Hardy, M. Lavallee, B. Wasserman, T. F. A. Ang, C. M. Nowak, R. Kainkaryam, L. Foschini & Rhoda Au. Cognitive Digital Biomarkers from Automated Transcription of Spoken Language, The Journal of Prevention of Alzheimer’s Disease (2022).
• Goodday M.S, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Karlin D.R, Emami H, Woods N, Boch A, Foschini L, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E, and Friend S. An Alternative to the ‘Light Touch’ Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Healthcare Workers Study, JMIR Form Res (2021).
• J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson. Digital Intervention Increases Influenza Vaccination Rates for People with Diabetes in a Decentralized Randomized Trial, NPJ Digital Medicine (2021)
• McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M, Reproducibility in Machine Learning for Health Research: Still a Ways to Go. Science Translational Medicine (2021)
• Shapiro A, Marinsek N, Clay I, Bradshaw B, Ramirez E, Min J, Trister A, Wang Y, Althoff A, and Foschini L. Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data. Cell Patterns (2020)
• Karas M, Marinsek N, Goldhahn J, Foschini L, Ramirez E, and Clay I, Predicting Subjective Recovery from Lower Limb Surgery Using Consumer Wearables, Karger Digital Biomarkers (2020)
• Mundnich K, Booth B.M., L’Hommedieu M, Feng T, Girault B, L’Hommedieu J, Wildman M, Skaaden S, Nadaraian A, Villatte J.L, Falk T.H., Lerman K, Ferrara E, Naravanan S. TILES-2018, a Longitudinal Physiologic and Behavioral Data Set of Hospital Workers NPJ Scientific Data (2020)
• Cutillo CM, Sharma KR, Foschini L, Kundu S, Mackintosh M, Mandl, KD, Machine Intelligence in Healthcare—Perspectives on Trustworthiness, Explainability, Usability, and Transparency, NPJ Digital Medicine (2020)
• E. Ramirez, N. Marinsek, B. Bradshaw, R. Kanard, L. Foschini. Continuous Digital Assessment for Weight Loss Surgery Patients. Digital Biomarkers (2020).
• X. Han, Y. Hu, L. Foschini, L. Chinitz, L. Jankelson, R. Ranganath. Deep learning models for electrocardiograms are susceptible to adversarial attack. Nature Medicine (2020).
• S. Deering, M.M. Grade, J.K. Uppal, L. Foschini, J.L. Juusola, A.M. Amdur, C.J. Stepnowsky. Accelerating Research With Technology: Rapid Recruitment for a Large-Scale Web-Based Sleep Study. JMIR research protocols (2019).
• M. Wildman, R. Eulogio, R. Singh, E. Ramirez, L. Foschini, Evidation Health; Amrutha Nadarajan, Brandon Booth, Karel Mundnich, Emilio Ferrara, Kristina Lerman, Shrikanth Narayanan. Comparison of Heart Rate Measurement Between the Fitbit Charge 2 and OMsignal Smart Garments: A Free Living Study. Annals of Behavioral Science (2019).
• T. Quisel, L. Foschini, S.M. Zbikowski, J.L. Juusola. The association between medication adherence for chronic conditions and digital health activity tracking. Journal of Medical Internet Research (2019).
• M. McDermott, S. Wang, N. Marinsek, R. Ranganath, M. Ghassemi, L. Foschini. Reproducibility in Machine Learning for Health. arXiv preprint arXiv (2019).
• X. Han, Y. Hu, L. Foschini, L. Jankelson, R. Ranganath. Adversarial Examples for Electrocardiograms. arXiv preprint arXiv (2019).
• J.L.A. Tran, S. Kumar, R. Eulogio, E. Ramirez, L. Foschini, J.L. Juusola. Pain Management Strategies and Activity Tracker Utilization in a Large-Scale Chronic Pain Study. Value in Health (2019).
• R. Chan, F. Jankovic, N. Marinsek, L. Foschini, L. Kourtis, A. Signorini, M. Pugh, J. Shen, R. Yaari, V. Maljkovic, M. Sunga, H. Hee Song, H. Joon Jun, B. Tseng, A. Trister. Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (2019).
• C. Bachireddy, A. Joung, L.K. John, F. Gino, B. Tuckfield, L. Foschini, K.L. Milkman. Effect of Different Financial Incentive Structures on Promoting Physical Activity Among Adults. JAMA network open (2019).
• C.J. Cerrada, C. Tai, S. Kumar, K. Scherer, R. Eulogio, E. Ramirez, L. Foschini, J. Juusola. African American Participants Experience Greater Pain Severity and Pain Interference Compared to Non­-Hispanic Whites in a Large Scale Virtual Study on Chronic Pain. 41st Annual Meeting of the Society for Medical Decision Making. (SMDM), 2019.
• S.I. Samson, K. Konty, W.N. Lee, T. Quisel, L. Foschini, D. Kerr, J. Liska, H. Mills, R. Hollingsworth, M. Greenberg, A.C. Beal. Quantifying the Impact of Influenza Among Persons With Type 2 Diabetes Mellitus: A New Approach to Determine Medical and Physical Activity Impact. Journal of diabetes science and technology (2019).
• W.N. Lee, D. Stück, K. Konti, C. Rivers, C.R. Brown, S.M. Zbikowski, L. Foschini. Large-scale influenza vaccination promotion on a mobile app platform: A randomized controlled trial. Vaccine (2019).
• T. Quisel, L. Foschini, S.M. Zbikowski, J.L. Juusola. The association between medication adherence for chronic conditions and digital health activity tracking. Journal of medical Internet research (2019).
• M.S. Patel, L. Foschini, G.W. Kurtzman, J. Zhu, W. Wang, C.A.L. Rareshide, S.M. Zbikowski. Using Wearable Devices and Smartphones to Track Physical Activity: Initial Activation, Sustained Use, and Step Counts Across Sociodemographic Characteristics in a National Sample. Annals of Internal Medicine (2017).
• J.L. Juusola, T. Quisel, L. Foschini, J. Ladapo. The Impact of an Online Crowdsourcing Diagnostic Tool on Health Care Utilization: A Case Study Using a Novel Approach to Retrospective Claims Analysis. Journal of Medical Internet Research (2016).
• A. Pourzanjani, T. Quisel, L. Foschini. Adherent Use of Digital Health Trackers Is Associated with Weight Loss. Plos One (2016).
• A.E. Feldmann, L. Foschini. Balanced Partitions of Trees and Applications. Algorithmica (2013).
• L. Foschini, J. Hershberger, and S. Suri. On the Complexity of Time-Dependent Shortest Paths. Algorithmica (2012).
• L. Foschini, R. Grossi, A. Gupta, and J.S. Vitter. When indexing equals compression: Experiments with compressing suffix arrays and applications. The ACM Transactions on Algorithms (2006).
• L. Valcarenghi, L. Foschini, F. Paolucci, F. Cugini, and P. Castoldi. Topology Discovery Services for Monitoring the Global Grid. Communications Magazine (2006).

Conferences and Workshops

• H. Hallgrímsson, F. Jankovic, T. Althoff, L. Foschini. Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data. Neural Information Processing Systems , Workshop on Machine Learning for Health (2018).
• D. Stück, W. Lee, L. Foschini, R. Harpaz, W. DuMouchel, S.M. Zbikowski, C.R. Brown. Predicting Influenza Vaccinations using Administrative Claims and Consumer Health Data. Society for Medical Decision Making (2018).
• S. Kumar, W. Lee, J. LA Tran, L. Foschini, J.L. Juusola.  Activity Tracker-Based Behavioral Data Is Correlated with Validated Quality-of-Life Metrics. Society for Medical Decision Making (2018).
• D. Stück, H. Tómas, G. Ver Steeg, A. Epasto, L. Foschini. Novel Digital Voice Biomarkers of Dementia from the Framingham Study.  Alzheimer’s Association International Conference (2018). 
• S. Samson, W. Lee, T. Quisel, L. Foschini, J. Liska, H. Mills, R. Hollingsworth, M. Greenberg, A.C. Beal. Using Claims and Wearable Devices Data to Quantify Influenza Outcomes Among Type 2 Diabetes Patients. American Diabetes Association (2018). 
• S. Kumar, J. Tran, W. Lee, B. Bradshaw, L. Foschini, J. Juusola. Longitudinal Data from Activity Trackers Show that Those with Greater Inconsistency in Activity Levels Are More Likely to Develop More Severe Depression. International Society for Pharmacoeconomics and Outcomes Research (2018). 
• S. Kumar, T. Quisel, L. Foschini, J. Juusola. Digital Tracker Data from Over 100,000 Individuals Show Lower Activity Levels in Individuals with Multiple Chronic Conditions. Society of Behavioral Medicine (2018). 
• L. Foschini, J. Medin, V. Bezlyak, D. Stuck, D. Silva, W. Lee. Real-World Use of Wearable Devices in a Large Multiple Sclerosis Cohort. American Academy of Neurology (2018).
• L. Cheng, D. Stück, T. Quisel, L. Foschini. The Impact of Missing Data in User-Generated mHealth Time Series.Neural Information Processing Systems , Workshop on Machine Learning for Health (2017). 
• S. Kumar, D. Stück, W. Lee, J. Juusola, L. Foschini. Digital Activity Tracker-Based Behavioral Characteristics Associated with Comorbid Mental Health Illness Symptoms Among Individuals With Diabetes. American Medical Informatics Association (2017).
• S. Kumar, H. Moseson, W. Lee, D. Stück, L. Foschini, J. Juusola. Activity Trackers Show That Inconsistent Sleep Patterns are Associated with Severe Forms of Anxiety and Depression. Society for Medical Decision Making (2017).
• T. Quisel, L. Foschini, A. Signorini, D.C. Kale. Collecting and Analyzing Millions of mHealth Data Streams. Knowledge Discover and Data Mining (2017). 
• T. Quisel, W. Lee, L. Foschini. Observation Time vs. Performance in Digital Phenotyping. ACM MobiSys (2017).
• S. Kumar, T. Quisel, L. Foschini, J. Juusola. Digital Trackers show that High Intensity Exercising and Consistent Sleep patterns are Associated with Positive Self-Reported Health Status. International Society for Pharmacoeconomics and Outcomes Research (2017).
• D. Stück, H. Tómas, G. Steeg, A. Epasto, L. Foschini. The Spread of Physical Activity Through Social Networks. ACM World Wide Web Conference (2017). 
• T. Quisel, L. Foschini, C. Axelrod, D. Kerr. Self-Care Tracking and Blood Glucose Stability Among One Drop Mobile App Users. Society of Behavioral Medicine (2017). 
• L. Oley, D. Stück, L. Foschini, J. Juusola, S. Kumar, J. Torous.  Impact of Pokémon GO on Physical Activity: A Pre-post Analysis. Society of Behavioral Medicine (2017). 
• T. Quisel, J. Torous, L. Foschini. Restless Sleep is Associated with Weight Gain: A Within-Subject Analysis. Society of Behavioral Medicine (2017). 
• T. Quisel, R. Milani, L. Foschini. Improving Heart Failure Unit Readmission Prediction. American College of Cardiology (2017).
• T. Quisel, D. Kale, L. Foschini. Intra-day Activity Better Predicts Chronic Conditions. Neural Information Processing Systems , Workshop on Machine Learning for Health (2016). 
• T. Quisel, L. Foschini, A. Signorini. Behavioral Phenotyping of Digital Health Tracker Data. SIAM Data Mining (2016). 
• L. John, K.L. Milkman, F. Gino, B. Tuckfield, L. Foschini. The Role of Incentive Salience in Habit Formation. Harvard Business School (2016). 
• A. Pourzanjani, T. Quisel, D. Sontag, L. Foschini. Fully Bayesian Unsupervised Disease Progression Modeling. Neural Information Processing Systems (2015). 
• T. Quisel, L. Foschini, J. Juusola. Health Activity Tracking Is Associated With Higher Medication Adherence. Society for Medical Decision Making (2015).
• A. E. Feldmann and L. Foschini. Balanced Partitions of Trees and Applications. Symposium on Theoretical Aspects of Computer Science (STACS 2012).
• H. Yıldız, L. Foschini, J. Hershberger, and S. Suri. The Union of Probabilistic Boxes: Maintaining the Volume. European Symposium on Algorithms (ESA 2011).
• L. Cavedon, L. Foschini, and G. Vigna. Getting the Face Behind the Squares: Reconstructing Pixelized Video Streams. USENIX Workshop on Offensive Technologies (WOOT 2011).
• S. Gauglitz, L. Foschini, M. Turk, and T. Höllerer. Efficiently Selecting Spatially Distributed Keypoints for Visual Tracking. IEEE International Conference on Image Processing (ICIP 2011).
• F. Uyeda, L. Foschini, S. Suri, and G. Varghese. Efficiently Measuring Bandwidth at All Time Scales. Symposium on Networked Systems Design and Implementation (NSDI 2011).
• L. Foschini, J. Hershberger, and S. Suri. On the Complexity of Time-Dependent Shortest Paths. The ACM-SIAM Symposium on Discrete Algorithms (SODA 2011).
• S. Gandhi, L. Foschini, and S. Suri. Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order. International Conference on Data Engineering (ICDE 2010).
• C. Buragohain, L. Foschini, and S. Suri. Untangling the Braid: Finding Outliers in a Set of Streams. Workshop on Algorithm Engineering and Experiments (ALENEX 2010).
• A. Gulli, S. Cataudella, and L. Foschini. TC-SocialRank: Ranking the Social Web. Workshop on Algorithms and Models for the Web Graph (WAW 2009).
• L. Foschini, A. V. Thapliyal, L. Cavallaro, C. Kruegel, and G. Vigna. A Parallel Architecture for Stateful, High-Speed Intrusion Detection. International Conference on Information Systems Security (ICISS 2008).
• M. Cococcioni, L. Foschini, B. Lazzerini, and F. Marcelloni. Complexity Reduction of Mamdani Fuzzy Systems through Multi-valued Logic Minimization. IEEE International Conference on Systems, Man and Cybernetics (SMC 2008).
• L. Valcarenghi, F. Paolucci, L. Foschini, F. Cugini, and P. Castoldi. Centralized and Distributed Grid Topology Discovery Service Implementations. Poster (Hot Interconnects 13, 2005).
• L. Foschini, R. Grossi, A. Gupta, and J. S. Vitter. Fast Compression with a static model in High-Order Entropy. IEEE Data Compression Conference (DCC 04).

Professional Service

Theses