A. Emeralda Gustria Sesari, MSc

Research experience

Fairness in Word Embedding Models

University College London (UCL)
Study the fairness of three of the most frequently used word embedding models: GloVe, word2vec, and fastText, along with four of the most widely used bias metrics: WEAT, Sembias, Direct Bias, and ECT

Web-based Personality Test

Telkom University
Application of linear congruential method for randomization of test item in computer-based psychological Edwards Personal Preference Schedule (EPPS) test developed by web-based programming

Technical Skills

• Programming
• Software Engineering and Development
• Natural Language Processing
• Software Analytics
• Academic Writing

Publications

• An Empirical Study on the Fairness of Pre-trained Word Embeddings
• A Review of Pseudo-Random Numbers Generation Techniques
• Linear Congruential Method for Randomization of Test Item in Computer-Based Psychological Edwards Personal Preference Schedule (EPPS) Test

Education

University College of London (UCL)

Master of Science Software Systems Engineering | Distinction
Thesis: An Empirical Study on the Fairness of Pre-trained Word Embeddings (Distinction)

Telkom University

Bachelor of Computer Engineering | GPA: 3.84/4.00
Thesis involved designing and implementing computer-based psychological test

Talks

• Interdisciplinarity in Practice: A PhD Symposium 2023 by PhD/i
• NWO ICT.OPEN2023 at the Jaarbeurs, Utrecht
• UCL MSc Software Systems Engineering Discussion Group 2021
• Telkom University Computer Engineering Alumni Event 2021
• IT Telkom Surabaya Laboratory Talk 2020

Awards

• Student EDI (Equality, Diversity, and Inclusion) Award 2022 by University College London (UCL) Engineering for the outstanding achievement in promoting or enhancing equality, diversity and inclusion across the department