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Samantha N Piekos, Ph.D.
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Assistant Professor of Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
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Department: Biostatistics and Epidemiology
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Graduate Group Affiliations
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Contact information
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Blockley Hall
1a 423 Guardian Drive
3d University of Pennsylvania
Philadelphia, PA 19104
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1a 423 Guardian Drive
3d University of Pennsylvania
Philadelphia, PA 19104
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Lab: 2158984462
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Education:
21 9 B.S. 2c (Biological Sciences; Psychology) c
41 University of Notre Dame, Notre Dame, IN, 2015.
21 a Ph.D. 55 (Stem Cell Biology & Regenerative Medicine; Minor Biomedical Informatics ) c
3c Stanford University, Stanford, CA , 2020.
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Permanent link21 9 B.S. 2c (Biological Sciences; Psychology) c
41 University of Notre Dame, Notre Dame, IN, 2015.
21 a Ph.D. 55 (Stem Cell Biology & Regenerative Medicine; Minor Biomedical Informatics ) c
3c Stanford University, Stanford, CA , 2020.
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31d The lab integrates deep phenotyping data—including longitudinal multiomics, wearable data, environmental exposures, social determinants of health, and electronic medical records—to map molecular networks using AI. Methods include machine learning (ML), network analysis, large language models (LLMs), and knowledge graphs. After establishing a healthy baseline, the lab identifies molecular network disruptions linked to obstetric syndromes by analyzing cross-sectional and longitudinal changes. The goal is to detect the earliest deviations from a healthy trajectory and enable precise, patient-specific interventions early in disease. Dr. Piekos also investigates how environmental exposures, such as wildfire smoke and extreme heat, impact pregnancy outcomes at the population level.
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Description of Research Expertise
238 Dr Piekos's research leverages artificial intelligence (AI) to quantify the interplay between biology, environment, and lifestyle, advancing precision medicine through more targeted and affordable treatments. The Piekos Lab uses a systems biology approach to study pregnancy as a model of biological transition, focusing on how physiological processes are disrupted in disease. Pregnancy’s defined timeline and profound transformations provide a unique opportunity to study dynamic changes that are difficult to capture in aging or other conditions.8
31d The lab integrates deep phenotyping data—including longitudinal multiomics, wearable data, environmental exposures, social determinants of health, and electronic medical records—to map molecular networks using AI. Methods include machine learning (ML), network analysis, large language models (LLMs), and knowledge graphs. After establishing a healthy baseline, the lab identifies molecular network disruptions linked to obstetric syndromes by analyzing cross-sectional and longitudinal changes. The goal is to detect the earliest deviations from a healthy trajectory and enable precise, patient-specific interventions early in disease. Dr. Piekos also investigates how environmental exposures, such as wildfire smoke and extreme heat, impact pregnancy outcomes at the population level.
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10e S Piekos, Q Wei, M Strasser, N Price, L Hood, & J Hadlock: Evaluating the Impact of Wildfire Smoke Exposure on Preterm Birth. Reproductive Sciences. SPRINGER HEIDELBERG, 32(1): 168A-168A, Mar 2025.
1bc Hwang YM, Roper RT, Piekos SN, Enquobahrie DA, Hebert MF, Paquette AG, Baloni P, Price ND, Hood L, Hadlock JJ.: Timing of selective serotonin reuptake inhibitor use and risk for preterm birth and related adverse events: with a consideration of the COVID-19 pandemic period. Journal of Maternal Fetal & Neonatal Medicine Dec 2024 Notes: doi: 10.1080/14767058.2024.2313364.
16b Hwang YM, Piekos SN, Paquette AG, Wei Q, Price ND, Hood L, Hadlock JJ.: Accelerating adverse pregnancy outcomes research amidst rising medication use: parallel retrospective cohort analyses for signal prioritization. BMC Medicine 22(1): 495, Oct 2024 Notes: doi: 10.1186/s12916-024-03717-0.
12f Piekos S, Barak O, Price N, Hood L, & Sadovsky Y: Defining placental network differences between obstetric outcomes using an integrated multiomics approach. Poster Presentation, Cascadia Proteomics Symposium Seattle, WA July 2024.
14a Ralevski A, Taiyab N, Nossal M, Mico L, Piekos SN, Hadlock J.: Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical Records. Journal of Medical Internet Research June 2024 Notes: doi: 10.2196/63445.
116 Samantha Piekos, Oren Barak, Nathan Price, Leroy Hood, Yoel Sadovsky: Multiomics Analysis of Placental Dysfunction in Obstetric Disorders. Reproductive Sciences. Springer Heidelberg, 31: 68A-68A, Mar 2024.
19b Hwang YM, Wei Q, Piekos SN, Vemuri B, Molani S, Mease P, Hood L, Hadlock J.: Maternal-fetal outcomes in patients with immune-mediated inflammatory diseases, with consideration of comorbidities: a retrospective cohort study in a large U.S. healthcare system. eClinicalMedicine 68: 102435, Feb 2024 Notes: doi: 10.1016/j.eclinm.2024.102435.
13c Piekos S, Wei Qi, Sorensen T, Price N, Hood L, Hadlock J: Pregnant populations at risk for wildfire smoke exposure in the western US. Poster Presentation, Stanford Maternal and Child Health Research Institute Symposium, Stanford, CA Oct 2023.
185 Barak O, Lovelace T, Piekos S, Chu T, Cao Z, Sadovsky E, Mouillet JF, Ouyang Y, Parks WT, Hood L, Price ND, Benos PV, Sadovsky Y.: Integrated unbiased multiomics defines disease-independent placental clusters in common obstetrical syndromes. BMC Medicine 21(1): 349, Sept 2023 Notes: doi: 10.1186/s12916-023-03054-8.
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Selected Publications
92 Piekos SN*†, Barak O*, Baumgartner A, Chu T, Parks WT, Hadlock J, Hood L, Price ND, & Sadovsky Y†. 124 : Defining placental network differences among obstetric syndromes using an integrated multiomics approach. Nature Communications Biology 8: 1239, Aug 2025 Notes: †.* = co-first author; † = co-corresponding author; doi: 10.1038/s42003-025-08631-6. In Press.10e S Piekos, Q Wei, M Strasser, N Price, L Hood, & J Hadlock: Evaluating the Impact of Wildfire Smoke Exposure on Preterm Birth. Reproductive Sciences. SPRINGER HEIDELBERG, 32(1): 168A-168A, Mar 2025.
1bc Hwang YM, Roper RT, Piekos SN, Enquobahrie DA, Hebert MF, Paquette AG, Baloni P, Price ND, Hood L, Hadlock JJ.: Timing of selective serotonin reuptake inhibitor use and risk for preterm birth and related adverse events: with a consideration of the COVID-19 pandemic period. Journal of Maternal Fetal & Neonatal Medicine Dec 2024 Notes: doi: 10.1080/14767058.2024.2313364.
16b Hwang YM, Piekos SN, Paquette AG, Wei Q, Price ND, Hood L, Hadlock JJ.: Accelerating adverse pregnancy outcomes research amidst rising medication use: parallel retrospective cohort analyses for signal prioritization. BMC Medicine 22(1): 495, Oct 2024 Notes: doi: 10.1186/s12916-024-03717-0.
12f Piekos S, Barak O, Price N, Hood L, & Sadovsky Y: Defining placental network differences between obstetric outcomes using an integrated multiomics approach. Poster Presentation, Cascadia Proteomics Symposium Seattle, WA July 2024.
14a Ralevski A, Taiyab N, Nossal M, Mico L, Piekos SN, Hadlock J.: Using Large Language Models to Annotate Complex Cases of Social Determinants of Health in Longitudinal Clinical Records. Journal of Medical Internet Research June 2024 Notes: doi: 10.2196/63445.
116 Samantha Piekos, Oren Barak, Nathan Price, Leroy Hood, Yoel Sadovsky: Multiomics Analysis of Placental Dysfunction in Obstetric Disorders. Reproductive Sciences. Springer Heidelberg, 31: 68A-68A, Mar 2024.
19b Hwang YM, Wei Q, Piekos SN, Vemuri B, Molani S, Mease P, Hood L, Hadlock J.: Maternal-fetal outcomes in patients with immune-mediated inflammatory diseases, with consideration of comorbidities: a retrospective cohort study in a large U.S. healthcare system. eClinicalMedicine 68: 102435, Feb 2024 Notes: doi: 10.1016/j.eclinm.2024.102435.
13c Piekos S, Wei Qi, Sorensen T, Price N, Hood L, Hadlock J: Pregnant populations at risk for wildfire smoke exposure in the western US. Poster Presentation, Stanford Maternal and Child Health Research Institute Symposium, Stanford, CA Oct 2023.
185 Barak O, Lovelace T, Piekos S, Chu T, Cao Z, Sadovsky E, Mouillet JF, Ouyang Y, Parks WT, Hood L, Price ND, Benos PV, Sadovsky Y.: Integrated unbiased multiomics defines disease-independent placental clusters in common obstetrical syndromes. BMC Medicine 21(1): 349, Sept 2023 Notes: doi: 10.1186/s12916-023-03054-8.
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