update contributor list.

pipeline_logic/README.md

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 The Data Ingestion and Harmonization work stream developed the latest version of N3C Data Ingestion and Harmonization pipeline in Python/SQL and implemented this on the NIH's instance of the Palantir Foundry platform.   Stepwise N3C extracting, transforming, and loading (ETL) pipeline tasks are scripts added and managed using a unified framework within Foundry to ingest and harmonize all incoming COVID-19 Electronic Health Records.
 
-Contributing to the pipeline development work are members of a multidisciplinary team which include: Chris Chute, Harold Lehmann, Davera Gabriel, Stephanie Hong, Tanner Zhang, and Richard Zhu, from Johns Hopkins University and Mark Bissell, Ben Amor, Andrew Girvin, Katie Bradwell and Amin Manna of Palantir Corporation. Common Data Model (CDM) mapping Subject Matter Experts include: Matvey Palchuk, Emily Pfaff, Kristin Kostka, and Michele Morris who reviewed the TriNetX, PCORnet, OMOP, i2b2ACT CDM logic respectively.
+Contributing to the pipeline development work are members of a multidisciplinary team which include: Chris Chute, Harold Lehmann, Davera Gabriel, Stephanie Hong, Tanner Zhang, and Richard Zhu, Tricia Francis from Johns Hopkins University and Mark Bissell, Emily Niehaus, Saad Ljazouli, Ben Amor, Andrew Girvin, Katie Bradwell and Amin Manna of Palantir Corporation. Common Data Model (CDM) mapping Subject Matter Experts include: Matvey Palchuk, Emily Pfaff, Kristin Kostka, and Michele Morris who reviewed the TriNetX, PCORnet, OMOP, i2b2ACT CDM logic respectively.
 
 More information on ***Johns Hopkins University, SOM BIDS*** is [here](https://www.hopkinsmedicine.org/gim/research/content/biomedical_informatics_data_science.html).
 More information on ***Palantir*** is [here](https://www.palantir.com/solutions/health/).