Mary Regina Boland, MA, MPhil, PhD, FAMIA 

Click here to edit subtitle

Welcome to my homepage. I am currently a tenure-track Assistant Professor of Informatics at the University of Pennsylvania. I am a Basic Science representative (elected) to the Medical Faculty Senate at the University of Pennsylvania currently, my term is from 2019-2021. I was just elected to be a Fellow of the American Medical Informatics Association (FAMIA) in May 2020. I am on the editorial board of the Journal of the American Medical Informatics Association for a term of 2-years (2020-2022). I am an Associate Editor for JAMIA's special issue titled: Informatics for Sex- and Gender-Related Health: Understanding the problems, developing new methods, and designing new solutions. Deadline for paper submissions has been extended to April 5, 2021 so please submit soon!

I develop novel informatics methods to study the effects of environmental pollutants, genetics and social determinants of health on clinical outcomes. I focus on prenatal and perinatal exposures and disease outcomes, including maternal health and fertility-related outcomes and I run the Fertility and Health Informatics Lab at the University of Pennsylvania. My UPenn lab website is located here

AMIA Informatics Summit March 24, 2021 talk available here and paper here

 
Recently received a 16k pilot grant from the Penn Injury Science Center (PISC)!
Information on my work can be found at the UPenn lab website here or  Fertility and Health Informatics Lab website.

I am a member of the Department of Biomedical and Health Informatics (DBHi) at the Children's Hospital of Philadelphia (CHOP), the Center for Excellence in Environmental Toxicology (CEET) at the University of Pennsylvania and the Leonard Davis Institute of Health Economics, Wharton School, University of Pennsylvania. 

I have published almost 60 peer-reviewed papers (for full list see here). 
Recently Accepted and Published Papers (2019-2021) are shown below, organized by theme!!

Womxn's Health, Pregnancy Outcomes, including Neighborhood Exposures and Pharmacovigilance / Medication Safety
  1. JR Meeker, HH Burris, MR Boland. An Algorithm to Identify Residential Mobility from Electronic Health Record Data. International Journal of Epidemiology. 2021; In press.
2. JR Meeker, SP Canelon, R Bai, LD Levine, MR Boland. Individual- and Neighborhood-Level Risk Factors for Severe Maternal Morbidity. Obstetrics & Gynecology. 2021; In press.
3. L Davidson, MR Boland. Towards Deep Phenotyping Pregnancy: A Systematic Review on Artificial Intelligence and Machine Learning Methods to Improve Pregnancy Outcomes. Briefings in Bioinformatics. 2020; In press
4. S Canelon, HH Burris, LD Levine, MR Boland. Development and Evaluation of MADDIE: Method to Acquire Delivery Date Information from Electronic Health Records. International Journal of Medical Informatics. 2020. In press.
5. L Davidson, MR Boland. Enabling Pregnant Women and their Physicians to Make Informed Medication Decisions Using Artificial Intelligence. Journal of Pharmacokinetics and Pharmacodynamics 2020; In Press.

Environmental Exposures
1. S Tadlock, C Phillips, ML Casal, MC Kraus, AR Gelzer, MR Boland. Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-Dependent Diseases Across Species: A Casey Study with Osteosarcoma. AMIA Informatics Summit 2021; In press.
2. MR Boland, J Liu, C Balocchi, JR Meeker, R Bai, I Mellis, D Mowery, D Herman. A Method to Link Neighborhood-Level Covariates to COVID-19 Infection Patterns in Philadelphia Using Spatial Regression. AMIA Informatics Summit 2021; In press.
    3. O Wetherbee, J Meeker, C DeVoto, T Penning, J Moore, MR Boland. WellExplorer: An Integrative Resource Linking Hydraulic Fracturing Chemicals with Targeted Proteins, Hormonal Pathways and Geographic Location. Database. 2020; In press.
    4. S Canelon, MR Boland. A Systematic Literature Review on Factors Affecting the Timing of Menarche: Potential for Climate Change to Impact Women's Health. International Journal of Environmental Research and Public Health. 2020. In press
    5. MR Boland, M Fieder, LH John, P Rijnbeek, S Huber. Female Reproductive Performance and Maternal Birth Month: A Systematic Review and Meta-Analysis Exploring Multiple Seasonal Mechanisms. Scientific Reports. 2020; 10:555.
    6. R Bai, GE Moran, J Antonelli, Y Chen*, MR Boland*. Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models. Journal of American Statistical Association (JASA) Applications. 2020; In Press. *Joint Senior Author
    7. MR Boland, NP Tatonetti Attention Deficit–Hyperactivity Disorder and Month of School Enrollment. NEJM 2019;380(7):692-693.

    Infectious Disease (including COVID)
    1. S Tadlock, C Phillips, ML Casal, MC Kraus, AR Gelzer, MR Boland. Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-Dependent Diseases Across Species: A Casey Study with Osteosarcoma. AMIA Informatics Summit 2021; In press.
    2. MR Boland, J Liu, C Balocchi, JR Meeker, R Bai, I Mellis, D Mowery, D Herman. A Method to Link Neighborhood-Level Covariates to COVID-19 Infection Patterns in Philadelphia Using Spatial Regression. AMIA Informatics Summit 2021; In press.

    Disambiguating Meaning from Clinical Notes and Informatics Methods

    1. A Kashyap, H Burris, C Callison-Burch, MR Boland. The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for Predicting Acronym Sense from Neonatal Clinical Notes. International Journal of Medical Informatics. 2020. In press.

    2. MR Boland, ML Casal, M Kraus, AR Gelzer. Applied Veterinary Informatics: Development of a Semantic and Domain-Specific Method to Construct a Canine Data Repository. Scientific Reports. 2019; 9: 18641.

    3. MR Boland, S Alar-Gupta, L Levine, P Gabriel, G Gonzalez. Disease Associations Depend on Visit Type: Results from a Visit-Wide Association Study. BioData Mining. 2019; In press.
    4. R Duan, C Luo, MJ Schuemie, J Tong, JC Liang, HH Chang, MR Boland, J Bian, H Xu, JH Holmes, CB Forrest, SC Morton, JA Berlin, JH Moore, KB Mahoney, Y Chen. Learning from local to global-an efficient distributed algorithm for modeling time-to-event data. J Am Med Inform Assoc. 2020. In press
    5. J Moore, MR Boland, P Camara, G Gonzalez, B Himes, D Mowery, M Ritchie, L Shen, R Urbanowicz, J Holmes. Preparing next generation scientists for biomedical big data: Artificial intelligence approaches. Personalized Medicine. 2019
    6. R Duan, MR Boland*, JH Moore, Y Chen. ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. In Press at 2019 Pacific Symposium on Biocomputing. *Equal-contribution first-author

    External Links