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Data Support Staff

Hannah Sawicki graduated from Catholic University of America (CUA) in 2016 with a major in English Language and Literature and minor in Psychology. At CUA, she was a Merit Scholar and attended a graduate seminar in forensic linguistics taught by Carole Chaski at the Forensic Department of George Washington University. During her undergraduate degree, Hannah interned with the Mullen Library at CUA, Dzane Books Publishing Company and the Middlesex County Superior Court in New Brunswick , New Jersey. She was an active leader in the CUA Campus Ministry’ s Social Justice and Service, Habitat for Humanity, Girl Scouts of America and the CUA Wind Ensemble.

Hannah is a student member of the Linguistic Society of America and The Association for Linguistic Evidence. In Fall 2016, she begins studies at Widener Law School to earn her JD. She plans to practice in the area of children’s rights.

At ALIAS Technology, Hannah serves on the Data Support Team. She prepares data for text processing following the ALIAS guidelines. Hannah has worked with handwritten materials as well as typed manuscripts. Hannah has an eye for detail, deep proofreading ability, and excellent organization skills.

Olivia Bianchini graduated from the University of Pittsburgh in 2016 with a double major in Linguistics and Japanese. During her undergraduate degree, she studied in Japan and lived with a Japanese family in order to strengthen her proficiency in Japanese.

Liv held a student internship at the Institute for Linguistic Evidence during the summer of 2016 and participated in the 2016 ILE Summer Workshop. Within the next year, Liv will be beginning her studies for an MBA in International Business at West Chester University of Pennsylvania.

At ALIAS Technology, Liv serves on the Data Support Team and the Case Management Team. She prepares data for text processing following the ALIAS guidelines. Liv carefully processes all documentary data to insure that the creator’s original language is preserved. Her training in linguistics is put to good use in data preparation.