Lexi Loessberg Zahl
About Lexi Loessberg Zahl
Lexi Loessberg Zahl is a Computational Linguist II at Businessolver, specializing in counteracting bias in natural language processing datasets and algorithms. She holds a Bachelor of Science in Cognitive Science from UCLA and a Master of Science in Computational Linguistics from the University of Washington.
Current Role at Businessolver
Lexi Loessberg Zahl currently serves as a Computational Linguist II at Businessolver, a position she has held since 2022. Based in Seattle, Washington, she focuses on enhancing natural language processing (NLP) technologies. In her role, she applies her expertise to develop solutions that improve accessibility and counteract bias in NLP datasets and algorithms.
Previous Experience at Amazon
Prior to her current role, Lexi Loessberg Zahl worked at Amazon in various capacities. She served as a Seasonal Ops Admin (HR) from 2017 to 2018 for five months in Vacaville, California, and later as an Ops Admin Assistant (HR) in 2018 for three months. These positions provided her with valuable experience in human resources operations.
Educational Background
Lexi Loessberg Zahl earned her Bachelor of Science in Cognitive Science from the University of California, Los Angeles, completing her studies from 2013 to 2017. She furthered her education by obtaining a Master of Science in Computational Linguistics from the University of Washington, where she studied from 2018 to 2020. Her academic background supports her professional focus on natural language understanding and processing.
Research Focus and Interests
Lexi Loessberg Zahl has developed a professional focus on counteracting bias in NLP datasets and algorithms. She is passionate about increasing the transparency and interpretability of NLP systems. Additionally, she has a keen interest in applying linguistic intuitions to enhance natural language understanding and processing technology, particularly with an emphasis on accessibility.
Teaching Experience
In 2019, Lexi Loessberg Zahl worked as a Computer Science Teaching Assistant at the University of Washington for two months. This role allowed her to engage with students and contribute to their understanding of computer science concepts, further enhancing her teaching and communication skills.