Madiha Shakil Mirza

Madiha Shakil Mirza

NLP Engineer at Avanade

    Madiha Shakil Mirza is an AI Engineer with research background and consulting experience in Natural Language Processing (NLP), Generative AI, Machine Learning, and Deep Learning across various industries. She is currently part of the Artificial Intelligence Practice at Avanade. Madiha graduated from the University of Minnesota with a degree in Master of Science in Computer Science. She was a Graduate Research Assistant and Graduate Teaching Assistant in the Department of Computer Science at the University of Minnesota. Her graduate thesis, titled "Language Models for Interpretation of English Puns," focused on building Language Models for Computational Humor to create computers and conversational agents (voice assistants, chat bots) with humorous personalities capable of engaging in human like conversations. Madiha is also a published researcher in NLP, with her work on “A Feature Engineering Approach to Irony Detection in English Tweets” published in the Proceedings of The 12th International Workshop on Semantic Evaluation (June 2018), Association for Computational Linguistics, New Orleans, Louisiana.

    All Sessions by Madiha Shakil Mirza

    Day 1 extra event 04/23/2024
    2:00 pm - 4:00 pm

    Women in Data Science Ignite: Sharing Insights and Networking Session

    This session is designed to empower and connect women working in the exciting field of data science. Whether you're a seasoned professional or just starting out, this is your chance to: Gain valuable insights from experienced data scientists on a variety of topics relevant to the field (consider mentioning specific examples here, e.g., career advice, overcoming challenges, best practices in a specific area of data science). Share your own experiences and perspectives in an open and supportive environment. Build connections with other women in data science, fostering collaboration and mentorship opportunities. This session is a great opportunity to learn, grow, and be inspired by the incredible women shaping the future of data science.

    Day 1 04/23/2024
    2:00 pm - 2:10 pm

    Language Modeling, Ethical Considerations of Generative AI, and Responsible AI

    <span class="etn-schedule-location"> <span class="firstfocus">Responsibe AI</span> </span>

    Women in Data Science Ignite: My session will focus on: • Technological evolution in Artificial Intelligence and Natural Language Processing which led to Generative AI • What is Generative AI • How Generative AI differs from Machine Learning and Deep Learning • How Large Language Models are built • The difference between Statistical Language Models vs Neural Language Models • Ethical considerations for Generative AI such as Bias, Privacy, Copyright, Intellectual Property Rights, Misinformation, and Environmental Impact • Responsible AI and how we can play our part to ensure that Large Language Models are developed and used responsibly

    2:00 pm - 3:00 pm

    Women in Data Science Ignite: Sharing Insights and Networking Session

    Hema Seshadri - Moderator Madiha Shakil Mirza - Language Modeling, Ethical Considerations of Generative AI, and Responsible AI Roopa Vasan - My AI: Awareness in Evolving AI Technologies DeAnna Duval - EmpowerHer Talks: Humanizing Leadership Yi-Chun Lai - Utilizing XGBoost to Predict High-Performance Microbial Communities in Wastewater Treatment Plants

    Open Data Science




    Open Data Science
    One Broadway
    Cambridge, MA 02142

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