Director & Head of Data Sciences at nference

My primary research interest is to develop and apply machine learning and optimization methods to improve health outcomes for patients. I enjoy collaborating with clinicians and other healthcare domain experts on interdisciplinary research teams.

Google Scholar

Selected publications

  1. Silvert E, Hester L, Ramudu E, Pawlowski C, et. al. Identifying signs and symptoms of AL amyloidosis in electronic health records using natural language processing, diagnosis codes, and manually abstracted registry data. American Journal of Hematology, 2023.
  2. Ip W, Pawlowski C, et. al. Augmented curation of disease diagnoses and medications for patients with hepatocellular carcinoma. ASCO Annual Meeting Proceedings, 2023.
  3. Pawlowski C, et. al. SARS-CoV-2 and influenza coinfection throughout the COVID-19 pandemic: an assessment of coinfection rates, cohort characteristics, and clinical outcomes. PNAS Nexus, 2022.
  4. Niesen M, Pawlowski C, et. al. Surveillance of Safety of 3 Doses of COVID-19 mRNA Vaccination Using Electronic Health Records. JAMA Network Open, 2022.
  5. Razonable R, Pawlowski C, et. al. Casirivimab-Imdevimab treatment is associated with reduced rates of hospitalization among high-risk patients with mild to moderate coronavirus disease-19. EClinicalMedicine, 2021.
  6. Ganesh R, Pawlowski C, et. al. Intravenous bamlanivimab use associates with reduced hospitalization in high-risk patients with mild to moderate COVID-19. J Clin Invest., 2021.
  7. Donadio G, Choudhary M, Lindemer E, Pawlowski C, Soundararajan V. Counties with Lower Insurance Coverage and Housing Problems Are Associated with Both Slower Vaccine Rollout and Higher COVID-19 Incidence. Vaccines, 2021.
  8. Pawlowski C, et. al. FDA-authorized COVID-19 vaccines are effective per real-world evidence synthesized across a multi-state health system. Med, 2021.
  9. Venkatakrishnan A, Pawlowski C, et. al. Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications. NPJ Dig. Med., 2021.
  10. Pawlowski C, et. al. Cerebral Venous Sinus Thrombosis is not Significantly Linked to COVID-19 Vaccines or Non-COVID Vaccines in a Large Multi-State Health System. Journal of Stroke and Cerebrovascular Diseases, 2021.
  11. Pawlowski C, et. al. Enoxaparin is associated with lower rates of mortality than unfractionated Heparin in hospitalized COVID-19 patients. EClinicalMedicine, 2021.
  12. Kirkup C, Pawlowski C, et. al. Healthcare disparities among anticoagulation therapies for severe COVID-19 patients in the multi-site VIRUS registry. J Med Virol., 2021.
  13. Pawlowski C, et. al. Exploratory analysis of immunization records highlights decreased SARS-CoV-2 rates in individuals with recent non-COVID-19 vaccinations. Sci Rep., 2021.
  14. Pawlowski C, et. al. Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC). eLife, 2020.
  15. Bertsimas D, Pawlowski C, Orfanoudaki A. Imputation of clinical covariates in time series. Machine Learning, 2020.
  16. Bertsimas D, Dunn J, Pawlowski C, Zhuo Y. Robust Classification. INFORMS Journal on Optimization, 2018.
  17. Bertsimas D, Pawlowski C, Zhuo Y. From Predictive Methods to Missing Data Imputation: An Optimization Approach. JMLR, 2018.

Work in progress

  1. Bertsimas D, Pawlowski C. “Tensor Completion with Noisy Side Information.” To appear in Machine Learning, 2023.
  2. Sobiesk M, Pawlowski C, et. al. “Economic effectiveness of an AI-ECG algorithm to detect low ejection fraction.” Abstract submitted to the AHA Annual Meeting 2023.
  3. Bandi H, Pawlowski C, et. al. “An AI-ECG based algorithm to predict pacemaker need post TAVR surgery.” In preparation.

Patents

  1. Pawlowski C, et. al. “System To Identify Size And Location Information From Unstructured Inputs.” Submitted non-provisional to US Patent and Trademark Office, 2023.
  2. Pawlowski C, et. al. Identifying Patient Populations Vulnerable To Viral Infection And Methods Of Inducing Heterologous Immunity In Same. US Patent and Trademark Office, 2022.

PhD thesis

Presentations

  • “Missing Data Imputation for Clinical Covariates with Time Series” INFORMS 2018
  • “From Predictive Methods to Missing Data Imputation: An Optimization Approach.” INFORMS 2017
  • “Missing Data Imputation via a Modern Optimization Lens.” INFORMS 2016
  • “Robust Support Vector Machines.” INFORMS 2015
  • “Novel Properties of Deterministic and Stochastic SIR Models.” JMM 2014

Teaching experience

TA positions

  • “Machine Learning via a Modern Optimization Lens” (15.095), Fall 2018. Syllabus
  • “Machine Learning via a Modern Optimization Lens” (15.097), Spring 2018. Syllabus
  • “The Analytics Edge” (15.071), Spring 2017. Syllabus
  • “Data, Models, and Decisions” (15.060), Fall 2015. Syllabus

Software tools

  • Instructor for “Computing in Optimization and Statistics” (15.S60), January 2018. Course Website
  • Instructor for “Computing in Optimization and Statistics” (15.S60), January 2017. Course Website

Prepared materials