Jessica Patricoski, MS

Brown University - Center for Computational Molecular Biology

C2RCF: Development of Clinically Relevant Knowledge-Based Database Using NLP | 10/23 - Present

PIs: Ece Gamsiz Uzun, MS, PhD, FAMIA & Jeremy Warner MD, MS, FAMIA, FASCO

LUNAR: Deep Learning Applications in Cancer Recurrence | 06/23 - Present

PI: Ece Gamsiz Uzun, MS, PhD, FAMIA

Automation of Data Cleaning and Initial Analysis for MIP K13 Haplotype Analysis | 02/23 - 05/23

PI: Jeff Bailey, MD, PhD

Johns Hopkins University School of Medicine - Biomedical Informatics & Data Science

Trends and Opportunities in Computable Clinical Phenotyping: A Scoping Review | 10/21 - 05/22

PI: Taxiarchis Botsis, PhD, MS

The Johns Hopkins Molecular Tumor Board: Using Genomic Alterations and Biomarkers to Match Cancer Patients with Targeted Therapy Clinical Trials| 05/21 - 05/22

Collaboration with the Sidney Kimmel Comprehensive Cancer Center

PI: Taxiarchis Botsis, PhD, MS

Improving Data Quality in an Institutional Clinical Trial Data Repository to Support Patient-Trial Matching (thesis) | 05/21 - 03/22

Collaboration with the Sidney Kimmel Comprehensive Cancer Center

PI: Taxiarchis Botsis, PhD, MS

Extraction of COVID-19 Vaccine Adverse Events Using Natural Language Processing | 03/21 - 05/21

PI: Hongfang Liu, MS, PhD & Liwei Wang, MD, PhD

Johns Hopkins University School of Medicine - Molecular Biology & Genetics

Using the Reciprocal Best Hit Method to Find Potentially Orthologous Promoter Regions Between Homo sapiens GRCh38.p13 and Mus musculus GRCm39 – A Health Sciences Informatics Independent Study | 03/21 - 05/21

PI: Sarah Wheelan, MD, PhD

Johns Hopkins University - Department of Biomedical Engineering; Institute for Computational Medicine

Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning | 08/20 - 10/21

PIs: Raimond Winslow, PhD; Joseph Greenstein, PhD; Jules Bergmann, MD; James Fackler, MD; and Anthony Sochet, MD

Ghaly Neurosurgical Associates

Recent Decline in the Use of Invasive Neurocritical Care Monitoring for Traumatic Brain Injury: A Case Report | 01/19 - 02/20

Management of CRPS Secondary to Preganglionic C8 Nerve Root Avulsion: A Case Report and Literature Review | 01/18 - 05/20

Intracranial Subdural Hematoma: A Rare but Feared Complication of Obstetric Epidural Analgesia | 01/18 - 08/19

Limited Spine Surgery Can Be Utilized as an Adjuvant to Reduce the Opioid-Based Management in Patients with Adult-Onset Scoliosis (AOS) and Complex Spine Disorders | 06/17 - 05/18

Resolution of Chronic Hypertension Following Spinal Decompression: Is Chronic Spinal Cauda Equina Compression as a Result of Advanced Spondyloarthropathy a Reversible Cause of Chronic Hypertension? | 06/17 - 01/18

PI: Ramsis F. Ghaly, MD, FACS (all projects at Ghaly Neurosurgical Associates)

CONFERENCE PRESENTATIONS & POSTERS

Patricoski JA, Warner JL, Gamsiz Uzun ED. Predicting recurrence of low-grade glioma - A deep learning approach. Poster presented at: 2024 American Medical Informatics Association Informatics Summit; Mar 2024; Boston, MA.

Patricoski JA, Warner JL, Gamsiz Uzun ED. Predicting recurrence of low-grade glioma - A deep learning approach. Poster presented at: Legorreta Cancer Center Retreat; Sep 2023; Providence, RI.

Wang L, He H, Mathur S, Li Z, Akinseye A, Hamal M, Patricoski JA, et al. Extraction of COVID-19 vaccine adverse events using natural language processing. Poster presented by Wang at: 2022 American Medical Informatics Association Informatics Summit; Mar 2022; Chicago, IL.

Patricoski JA, Kreimeyer K, Balan A, Hardart K, et al. An evaluation of pretrained BERT models for comparing semantic similarity across unstructured clinical trial texts. Paper presented at: 19th International Conference on Informatics, Management and Technology in Healthcare; Oct 2021; Athens, Greece [virtual].

Krachman J, Patricoski JA, Le C, Park J, Zhang J. Using advanced machine learning models to predict flow rate escalation for pediatric patients on high flow nasal cannula. Poster presented by Krachman at: Johns Hopkins Engineering Design Day 2021; May 2021; Baltimore, MD [virtual].

TEACHING & WORK EXPERIENCE

Brown University - Division of Biology and Medicine

Graduate Teaching Assistant | 01/24 - 05/24

BIOL 1540/2540 (Molecular Genetics)

Johns Hopkins Molecular Tumor Board

Informatics Team Graduate Researcher | 05/21 - 03/22

PI: Taxiarchis Botsis, PhD, MS

Johns Hopkins University - Department of Computer Science

Graduate Teaching Assistant | 01/21 - 03/22

EN.601.402 (Digital Health and Biomedical Informatics)

Naperville Pediatric Associates

Pediatric Medical Technician | 12/17 - 01/19

Ghaly Neurosurgical Associates

Neurosurgical Research Intern | 06/17 - 05/20

PI: Ramsis Ghaly, MD, FACS

UNIVERSITY LEADERSHIP

Public Relations Committee Member, JHU SOM Graduate Student Association | 09/21 - 05/22

Program Representative, JHU SOM Graduate Student Association | 08/21 - 05/22

President, TCU Math Club | 04/18 - 04/20

Founding Member & Treasurer, TCU Students Acting for Gender Equity Treasurer | 04/18 - 04/20

Vice President of Marketing and Digital Media, TCU Young Democratic Leaders | 05/17 - 01/19

Founding Member & Vice President of Event Coordination, TCU Young Democratic Leaders | 05/16 - 05/17

SELECT HONORS & AWARDS

Pastiche Pie Award, Brown University CSCI 2810 Advanced Computational Molecular Biology | 12/22

Best Student Paper, 19th International Conference on Informatics, Management and Technology in Healthcare | 10/21

GSA Representative Faculty Nomination, JHU SOM Biomedical Informatics and Data Science | 08/21

Pi Mu Epsilon Faculty Nomination, TCU Department of Mathematics | 03/20

SELECT PROFESSIONAL MEMBERSHIPS

American Medical Informatics Association (AMIA) | 02/24 - Present

Brown Center for Clinical Cancer Informatics and Data Science (CCIDS) | 06/23 - Present

Pi Mu Epsilon (National Mathematics Honor Society) | 03/20 - Present

American Mathematical Society | 08/19 - Present

VOLUNTEER WORK