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Saria, Suchi

John C. Malone Associate Professor
Computer Science

Malone 333
(410) 516-4126
ssaria1@jhu.edu

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Suchi Saria

Suchi Saria selected as a Young Global Leader by the World Economic Forum

May 10, 2018

Suchi Saria, the John C. Malone Assistant Professor in the Department of Computer Science, has been selected as a Young Global Leader. Each year, the World Economic Forum bestows this honor on the world’s most distinguished leaders who are under the age of 40. Those selected are invited to become an active member of the Forum of […]

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About

Education
  • Ph.D. 2011, STANFORD UNIVERSITY
  • Master of Science 2008, Stanford
  • Bachelor of Arts 2004, Mount Holyoke College
Experience
  • 2015 - 2021:  Assistant Professor, SPH Biostatistics
  • 2013 - Present:  Joint, SOM Health Sciences Informatics
  • 2013 - Present:  Faculty Mentor, Summer Research Expeditions (new REU program)
  • 2012 - 2021:  Assistant Professor, SPH Health Policy and Management
Awards
  • 2015:  Annual Scientific Award
  • 2014:  Google Research Award
Presentations
  • "Incorporating User Preferences in Predictive Models Via Structured Regularizers", International Joint Conference on Artificial Intelligence.  New York City, NY.  January 1, 2016
  • "Computational Models for Refine Disease Understanding in Complex, Chronic Diseases", Machine Learning for Clinical Data Analysis.  Montreal, Canada.  December 1, 2014
  • "Predictive Models in Healthcare", American Medical Informatics Association.  Washington D.C..  November 1, 2014
  • "Six Near Term Opportunity for Big Data in Healthcare", Big Data and Health Analytics Forum.  Boston, MA.  October 1, 2014
  • "Opportunities for Big Data in Healthcare", Health datapalooza.  Washington D.C..  May 1, 2014
  • "Learning from Electronic Health Data", Big Data Center Seminar Series.  Hong Kong.  April 1, 2014
  • "Latent variable models for tracking illness severity in infants", Computer Science Seminar Series.  Washington D.C..  April 1, 2014
  • "Latent variable models for tracking illness severity in infants", Computer Science Seminar Series.  Hong Kong.  April 1, 2014
  • "Healthcare Analytics Panel", Robert H. Smith School Business Summit.  Maryland.  March 1, 2014
  • "Learning from Electronic Health Data", Biostatistics Seminar Series.  Baltimore.  January 1, 2014

Publications

Journal Articles
  • Bates DW, Auerbach A, Schulam P, Wright A, Saria S (2020).  Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence.  Annals of internal medicine.  172(11).  S137-S144.
  • Wongvibulsin S, Martin SS, Saria S, Zeger SL, Murphy SA (2020).  An Individualized, Data-Driven Digital Approach for Precision Behavior Change.  American Journal of Lifestyle Medicine.  14(3).  289-293.
  • Subbaswamy A, Saria S (2020).  From development to deployment: dataset shift, causality, and shift-stable models in health AI.  Biostatistics (Oxford, England).  21(2).  345-352.
  • Saria S, Henry KE (2020).  Too many definitions of sepsis: Can machine learning leverage the electronic health record to increase accuracy and bring consensus?.  Critical Care Medicine.  137-141.
  • Schulam P, Saria S (2020).  Can you trust this prediction? Auditing pointwise reliability after learning.  AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics.
  • Galiatsatos P, Follin A, Alghanim F, Sherry M, Sylvester C, Daniel Y, Chanmugam A, Townsend J, Saria S, Kind AJ, Chen E (2020).  The Association between Neighborhood Socioeconomic Disadvantage and Readmissions for Patients Hospitalized with Sepsis.  Critical Care Medicine.  808-814.
  • Subbaswamy A, Schulam P, Saria S (2020).  Preventing failures due to dataset shift: Learning predictive models that transport.  AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics.
  • Sundin I, Schulam P, Siivola E, Vehtari A, Saria S, Kaski S (2019).  Active learning for decision-making from imbalanced observational data.  36th International Conference on Machine Learning, ICML 2019.  2019-June.  10578-10587.
  • Rawat N, Rao V, Peven M, Shrock C, Reiter A, Saria S, Ali H (2019).  Comparison of automated activity recognition to provider observations of patient mobility in the ICU.  Critical Care Medicine.  47(9).  1232-1234.
  • Wiens J, Saria S, Sendak M, Ghassemi M, Liu VX, Doshi-Velez F, Jung K, Heller K, Kale D, Saeed M, Ossorio PN, Thadaney-Israni S, Goldenberg A (2019).  Do no harm: a roadmap for responsible machine learning for health care.  Nature Medicine.
  • Adams R, Ji Y, Wang X, Saria S (2019).  Learning models from data with measurement error: Tackling underreporting.  36th International Conference on Machine Learning, ICML 2019.  2019-June.  95-104.
  • Soleimani H, Hensman J, Saria S (2018).  Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction.  IEEE Transactions on Pattern Analysis and Machine Intelligence.  40(8).  1948-1963.
  • Zhan A, Mohan S, Tarolli C, Schneider RB, Adams JL, Sharma S, Elson MJ, Spear KL, Glidden AM, Little MA, Terzis A, Ray Dorsey E, Saria S (2018).  Using smartphones and machine learning to quantify Parkinson disease severity the mobile Parkinson disease score.  JAMA Neurology.  75(7).  876-880.
  • Bates DW, Heitmueller A, Kakad M, Saria S (2018).  Why policymakers should care about “big data” in healthcare.  Health Policy and Technology.  7(2).  211-216.
  • Kan HJ, Dyagilev K, Schulam P, Saria S, Kharrazi H, Bodycombe D, Molta CT, Curtis JR (2018).  Factors associated with physicians' prescriptions for rheumatoid arthritis drugs not filled by patients.  Arthritis Research and Therapy.  20(1).
  • Barnes S, Saria S, Levin S (2018).  An evolutionary computation approach for optimizing multilevel data to predict patient outcomes.  Journal of Healthcare Engineering.  2018.
  • Saria S, Butte A, Sheikh A (2018).  Better medicine through machine learning: What’s real, and what’s artificial?.  PLoS Medicine.  15(12).
  • Subbaswamy A, Saria S (2018).  Counterfactual normalization: Proactively addressing dataset shift using causal mechanisms.  34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018.  2.  947-957.
  • Ma AJ, Rawat N, Reiter A, Shrock C, Zhan A, Stone A, Rabiee A, Griffin S, Needham DM, Saria S (2017).  Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor.  Critical Care Medicine.  45(4).  630-636.
  • Schulam P, Saria S (2017).  Reliable decision support using counterfactual models.  Advances in Neural Information Processing Systems.  2017-December.  1698-1709.
  • Soleimani H, Subbaswamy A, Saria S (2017).  Treatment-response models for counterfactual reasoning with continuous-time, continuous-valued interventions.  Uncertainty in Artificial Intelligence - Proceedings of the 33rd Conference, UAI 2017.
  • Schulam P, Saria S (2016).  Integrative analysis using coupled latent variable models for individualizing prognoses.  Journal of Machine Learning Research.  17.  1-35.
  • Dyagilev K, Saria S (2016).  Learning (predictive) risk scores in the presence of censoring due to interventions.  Machine Learning.  102(3).  323-348.
  • Chisholm KM, Heerema-Mckenney A, Tian L, Rajani AK, Saria S, Koller D, Penn AA (2016).  Correlation of preterm infant illness severity with placental histology.  Placenta.  39.  61-69.
  • Robinson DP, Saria S (2016).  Trading-off cost of deployment versus accuracy in learning predictive models.  IJCAI International Joint Conference on Artificial Intelligence.  2016-January.  1974-1982.
  • Reiter A, Ma A, Rawat N, Shrock C, Saria S (2016).  Process monitoring in the intensive care unit: Assessing patient mobility through activity analysis with a non-invasive mobility sensor.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9900 LNCS.  482-490.
  • Saria S, Goldenberg A (2015).  Subtyping: What It is and Its Role in Precision Medicine.  IEEE Intelligent Systems.  30(4).  70-75.
  • Schulam P, Wigley F, Saria S (2015).  Clustering longitudinal clinical marker trajectories from electronic health data: Applications to phenotyping and endotype discovery.  Proceedings of the National Conference on Artificial Intelligence.  4.  2956-2964.
  • Schulam P, Saria S (2015).  A framework for individualizing predictions of disease trajectories by exploiting multi-resolution structure.  Advances in Neural Information Processing Systems.  2015-January.  748-756.
  • Chen Z, Koh PW, Ritter PL, Lorig K, Bantum EO, Saria S (2015).  Dissecting an Online Intervention for Cancer Survivors: Four Exploratory Analyses of Internet Engagement and Its Effects on Health Status and Health Behaviors.  Health Education and Behavior.  42(1).  32-45.
  • Henry KE, Hager DN, Pronovost PJ, Saria S (2015).  A targeted real-time early warning score (TREWScore) for septic shock.  Science Translational Medicine.  7(299).
  • Schulam P, Wigley F, Saria S (2015).  Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery.  American Association for Artificial Intelligence.
  • Robinson D, Saria S, Wei M (2015).  Being Practice-Cost Aware: Practice-Sensitive Risk Prediction.  In preparation for submission to the Journal of American Medical Informatics Association.
  • Schulam P, Saria S (2015).  A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases.  AMIA ... Annual Symposium proceedings. AMIA Symposium.  2015.  143-144.
  • Dyagilev K, Saria S (2015).  Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons.  AMIA ... Annual Symposium proceedings. AMIA Symposium.  2015.  1890-1898.
  • Saria S (2014).  A $3 trillion challenge to computational scientists: Transforming healthcare delivery.  IEEE Intelligent Systems.  29(4).  82-87.
  • Wayock CP, Meserole RL, Saria S, Jennings JM, Huisman TAGM, Northington FJ, Graham EM (2014).  Perinatal risk factors for severe injury in neonates treated with whole-body hypothermia for encephalopathy.  American Journal of Obstetrics and Gynecology.  211(1).  41.e1-41.e8.
  • Saria S (2014).  A $3 Trillion Challenge to Computational Scientists: Transforming Healthcare Delivery.  IEEE Intelligent Systems.  (4).  82-87.
  • Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G (2014).  Big data in health care: Using analytics to identify and manage high-risk and high-cost patients.  Health Affairs.  33(7).  1123-1131.
  • Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G (2014).  Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients.  Health Affairs.  33(7).  1123-1131.
  • Wayock CP, Meserole RL, Saria S, Jennings JM, Huisman TA, Northington FJ, Graham EM (2014).  Perinatal risk factors for severe injury in neonates treated with whole-body hypothermia for encephalopathy.  American journal of obstetrics and gynecology.  211(1).  41-e1.
  • Chen Z, Koh PW, Ritter PL, Lorig K, Bantum EO, Saria S (2014).  Dissecting an Online Intervention for Cancer Survivors: Four Exploratory Analyses of Internet Engagement and Its Effects on Health Status and Health Behaviors.  Health Education & Behavior.
  • Ma AJ, Zhan A, Sigurdsson G, Rawat N, Needham D, Saria S (2014).  FEASIBILITY OF A NON-INVASIVE SENSOR FOR MEASURING ICU PATIENT MOBILITY.  Critical Care Medicine.  42(12).  A1389.
  • Henry K, Paxton C, Kim KS, Pham J, Saria S (2014).  REWS: REAL-TIME EARLY WARNING SCORE FOR SEPTIC SHOCK.  Critical Care Medicine.  42(12).  A1384.
  • Zimolzak AJ, Spettell CM, Fernandes J, Fusaro VA, Palmer NP, Saria S, Kohane IS, Jonikas MA, Mandl KD (2013).  Early detection of poor adherers to statins: Applying individualized surveillance to pay for performance.  PLoS ONE.  8(11).
  • Paxton C, Niculescu-Mizil A, Saria S (2013).  Developing predictive models using electronic medical records: challenges and pitfalls..  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium.  2013.  1109-1115.
  • Zimolzak AJ, Spettell CM, Fernandes J, Fusaro VA, Palmer NP, Saria S, Kohane IS, Jonikas MA, Mandl KD (2013).  Early Detection of Poor Adherers to Statins: Applying Individualized Surveillance to Pay for Performance.  PloS one.  8(11).  e79611.
  • Lea C, Facker J, Hager G, Taylor R, Saria S (2013).  3d sensing algorithms towards building an intelligent intensive care unit.  AMIA Summits on Translational Science Proceedings.  2013.  136.
  • Paxton C, Niculescu-Mizil A, Saria S (2013).  Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls.  AMIA Annual Symposium Proceedings.  2013.  1109.
  • Jojic V, Saria S, Koller D (2011).  Convex envelopes of complexity controlling penalties: The case against premature envelopment.  Journal of Machine Learning Research.  15.  399-406.
  • Saria S, Duchi A, Koller D (2011).  Discovering deformable motifs in continuous time series data.  IJCAI International Joint Conference on Artificial Intelligence.  1465-1471.
  • Saria S, Duchi A, Koller D (2011).  Discovering deformable motifs in continuous time series data.  IJCAI Proceedings-International Joint Conference on Artificial Intelligence.  22(1).  1465.
  • Saria S, Rajani AK, Gould J, Koller D, Penn AA (2010).  Integration of early physiological responses predicts later illness severity in preterm infants.  Science Translational Medicine.  2(48).
  • Saria S, McElvain G, Rajani AK, Penn AA, Koller DL (2010).  Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes.  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium.  2010.  712-716.
  • Saria S, Koller D, Penn A (2010).  Learning individual and population level traits from clinical temporal data.  Proc. Neural Information Processing Systems (NIPS), Predictive Models in Personalized Medicine workshop.
  • Saria S, Rajani AK, Gould J, Koller D, Penn AA (2010).  Integration of early physiological responses predicts later illness severity in preterm infants.  Science translational medicine.  2(48).  48ra65-48ra65.
  • Saria S, Koller D, Penn A (2010).  Discovering shared and individual latent structure in multiple time series.  arXiv preprint arXiv:1008.2028.
  • Saria S, McElvain G, Rajani AK, Penn AA, Koller DL (2010).  Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes.  AMIA Annual Symposium Proceedings.  2010.  712.
  • Saria S, Nodelman U, Koller D (2007).  Reasoning at the right time granularity.  Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007.  326-334.
  • Saria S, Mahadevan S (2004).  Probabilistic plan recognition in multiagent systems.  Proceedings of the 14th International Conference on Automated Planning and Scheduling, ICAPS 2004.  287-296.
  • Zaragoza H, Craswell N, Taylor MJ, Saria S, Robertson SE (2004).  Microsoft Cambridge at TREC 13: Web and Hard Tracks..  TREC.  4.  1-1.
Conference Proceedings
  • Lea C, Fackler J, Hager G, Taylor R, Saria S (2013).  3D Sensing Algorithms Towards Building an Intelligent Intensive Care Unit.  AMIA Clinical Research Informatics Summit (CRI).  136-141.
  • Jojic V, Saria S, Koller D (2011).  Convex envelopes of complexity controlling penalties: the case against premature envelopment.  International Conference on Artificial Intelligence and Statistics.  399-406.
  • Saria S, Nodelman U, Koller D (2007).  Reasoning at the right time granularity.  Uncertainty in Artificial Intelligence.
  • Saria S, Mahadevan S (2004).  Probabilistic Plan Recognition in Multiagent Systems..  ICAPS.  287-296.
Patents
  • "Automatic coding of patient outcomes", 2013.
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