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General Information

Full Name Anne Tumlin
Date of Birth 28th November 2000
Languages English

Education

  • PhD
    Vanderbilt University, Nashville, TN
  • 2019-2023
    Bachelor of Science in Computer Science
    University of South Carolina, Columbia, SC
    • South Carolina Honors College - McNair Scholar.
    • Magna Cum Laude.

Experience

  • 2023
    Graduate Researcher
    Vanderbilt University, Nashville, TN
    • Since August 2023, I have been working as a Graduate Research Assistant at Vanderbilt University, focusing on research within the VeriVital and NDS Research Labs. My main area of study involves exploring formal methods for the verification of neural networks. This work is essential in enhancing the safety and reliability of AI systems, marking a significant contribution to the field of neural network validation and verification. My role at Vanderbilt University demonstrates my commitment to cutting-edge research in artificial intelligence and the development of more robust, trustworthy AI technologies.
  • 2020
    Undergraduate Researcher
    New York Institute of Technology, New York, NY
    • As a project manager and researcher, I contributed to the development of an open-source Natural Language Processing (NLP) algorithm designed to detect comment toxicity based on text and emojis. My work involved implementing a BiLSTM model that leveraged GloVe and Emoji2Vec embeddings, enhancing the algorithm's ability to discern toxicity accurately. This project was showcased at the 2021 REU Research in Networking and Systems Conference and gained further recognition with a publication in the 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS). My role in this project highlights my skills in NLP, team leadership, and my commitment to advancing research in intelligent systems.
  • 2020-2023
    Undergraduate Researcher
    University of South Carolina, Columbia, SC
    • As an undergraduate researcher in the South Carolina Autonomous Robotics Research (SCARR) lab, I significantly contributed to two significant projects. My first project entailed developing an innovative multirobot visibility-based pursuit-evasion algorithm, where I optimized the program to reduce the pursuer robot's path by up to 75%. This groundbreaking work was published at the prestigious 2021 IEEE International Conference on Robotics and Automation (ICRA). The second project focused on creating an algorithm for efficient information routing using ocean sensor nodes. Funded by the Magellan research grant, this research emphasized the practical applications of autonomous systems and was presented at Discover UofSC 2023. My role in these projects highlights my algorithm development and optimization skills and dedication to advancing research in autonomous robotics.

Honors and Awards

  • 2023
    • Provost Graduate Scholarship

Interests and Skills

  • Interests
    • Evaluating trade-offs between Fairness and Accuracy in Machine Learning
    • Formal Methods for Fairness Verification
    • Algorithmic Bias and Mitigation Strategies
    • Ethical AI and Responsible AI Development
  • Technical Skills
    • Proficient in Programming Languages (e.g., Python, R, MATLAB)
    • Data Analysis Tools (e.g., Pandas, NumPy, SciPy)
    • Machine Learning Frameworks (e.g., TensorFlow, PyTorch)
  • Research Skills
    • Formal Methods for Verification
    • Statistical Analysis and Data Interpretation
    • Experimental Design and Hypothesis Testing
    • Literature Review and Academic Research

Other Interests

  • Hobbies: Sailing, Reading, Playing the Clarinet.