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Laura Biester
Computer Science PhD Candidate
Professional Background
Laura Biester is an accomplished PhD Candidate at the prestigious University of Michigan, specializing in the fields of natural language processing and computational social science under the guidance of Dr. Rada Mihalcea. With a strong background in computer science, Laura's impressive educational journey has equipped her with the knowledge and skills to excel in academia as well as the tech industry. Prior to her doctoral studies, Laura gathered valuable work experience at Pinterest, where she served as a Software Engineer, contributing significantly to innovative projects in a dynamic and fast-paced environment.
In addition to her hands-on experience in the industry, Laura has a robust teaching background, having held various instructor roles at both the University of Michigan and Carleton College. In her capacity as a Graduate Research Assistant at the University of Michigan, she has conducted cutting-edge research while also mentoring undergraduates in the computer science discipline. This experience, paired with her time as an Instructor at the Summer Liberal Arts Institute at Carleton College and teaching courses like EECS 183 and EECS 198, showcases her dedication to education and her passion for sharing knowledge.
Education and Achievements
Laura's academic foundation began at Germantown Friends School, after which she pursued a Bachelor’s Degree in Computer Science at Carleton College, graduating in 2016. This institution is known for fostering critical thinking and problem-solving skills, which propelled her toward further studies. Building on her undergraduate success, Laura moved on to the University of Michigan, where she is currently completing a Doctor of Philosophy degree in Computer Science, with an emphasis on natural language processing.
During her tenure at the University of Michigan, Laura has also pursued a Master’s degree in Computer Science, further solidifying her expertise in the field. Her academic accomplishments highlight not only her commitment to her discipline but also her ambition to contribute to the broader technology landscape through research and innovation.
Work Experience
Laura's professional journey features a diverse array of impactful roles. At Pinterest, she honed her engineering skills, working collaboratively with cross-functional teams to develop user-friendly features and improve platform functionality. Her analytical skills and technical expertise played a critical role in driving projects to completion and achieving company objectives.
In addition to her industry experience, Laura has accumulated a wealth of knowledge through various internships, including her roles as a Clinical NLP Research Intern at IBM and as a Software Development Intern at Pearson VUE. These opportunities have empowered her to apply her theoretical knowledge in practical settings while gaining insights into the intricacies of software development and natural language processing.
Laura's role as a Computer Science Grader at Carleton College allowed her to develop a keen understanding of assessment and feedback within the academic realm. As a Computer Science Prefect, she also played a pivotal role in reviewing and supporting fellow students in their academic pursuits.
Furthermore, through her instructional roles, she has been able to shape the next generation of computer science enthusiasts. Whether teaching foundation courses like EECS 183 or advanced topics through EECS 198, Laura has empowered students to develop their programming skills and foster a love for learning.
Research and Contributions
Laura's research focuses on exploring the intersection of natural language processing and computational social science. Through her work with Dr. Rada Mihalcea, she is investigating how languages and technology interact, aiming to unveil deeper insights into human communication patterns. Her contributions to the field are not only forward-thinking but also hold the potential to influence how technology can enhance and enrich our understanding of social interactions.
Laura's academic and research pursuits exemplify the important role of technology and computer science in addressing complex social issues. By engaging with topics such as language understanding and data interpretation, she is creating a pathway for more effective communication solutions in the digital age. She is driven by a passion for using technology to solve real-world problems and improve the user experience through intelligent design and analytical approaches.
Achievements
Laura Biester has a history of notable achievements throughout her academic and professional journey, including:
- Successful completion of Bachelor's and Master's degrees in Computer Science from Carleton College and the University of Michigan, respectively.
- Currently pursuing a PhD in Computer Science at the University of Michigan under the guidance of renowned professor Dr. Rada Mihalcea, focusing on natural language processing and computational social science.
- Engaging role as a Graduate Research Assistant contributing to innovative research and practical applications of technology.
- Serving as an instructor for multiple computer science courses, effectively influencing and nurturing the skills of undergraduate students.
- Gaining hands-on engineering experience while working as a Software Engineer at Pinterest and completing significant internships at IBM, Gumroad, and Pearson VUE, adding broad competencies to her professional skill set.