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Amy Daali Lucea AI

Founder's Bio

Amy Daali, PhD

Lucea AI was founded by Amy Daali, an accomplished AI expert with a deep background in AI and Engineering. She is a 2x founder, and passionate advocate for gender equality in tech. She holds a Ph.D. in Engineering from the University of Texas. With over a decade of experience in Electrical Engineering and Biomedical Imaging, she has deep technical skills in Deep Learning, Computer Vision, and Advanced Image and Signal Processing.

 

Her passion for AI and Machine Learning led her to establish Lucea AI where she has been able to combine her technical expertise with her entrepreneurial spirit to create a cutting-edge training program that is revolutionizing the industry. Amy is also the Founder of Moonshot 4 HER, a large-scale initiative to inspire and empower 1 Million women in tech globally to excel in the technology industry.

 

Amy is a sought-after thought leader and speaker on the topics of AI, machine learning, and data analytics. She has been a featured speaker at various conferences and events, including the Data Science Salon Conference, Women in Data Science Conference and IEEE conferences. She has also been a guest speaker on various podcasts and events, discussing topics such as data science, analytics, machine learning, and artificial intelligence.


Amy served as the Chair of IEEE Engineering in Medicine and Biology Society. She led the San Antonio chapter by creating opportunities for members to engage in technical and professional conversations that transform and revolutionize the future of Medicine and Healthcare.

 

During her time at USAA she developed innovative Deep Learning Models using Keras and GPU-enabled Tensorflow on extensive imagery datasets. She also contributed to the design of a patent Titled "Predictive mapping for routing telephone calls", this technology uses AI to route calls based on sentiment, experience, and performance scores related to the conversation topic.

Prior to USAA, Amy held the position of Engineering Director at Invictus Medical. She led the development and implementation of a real-time noise reduction technology known as Filtered-x Least Mean Square (FxLMS) algorithm, to enhance the acoustic environment of neonatal incubators and improve the well-being of premature infants.

Before joining Invictus Medical, Amy was a Postdoctoral Research Fellow at the University of Texas Health Science Center San Antonio (UTHSCSA). There, she developed mathematical models to analyze different biomedical Imaging modalities to predict cancer progression in glioblastoma patients.
 

When she is not busy, she can be found sipping on a cup of coffee , indulging in some chocolate , or exploring a new corner of the world. Amy is always up for a good brainstorming session -especially if it involves coffee or chocolate!

Our Mission is to provide top-notch AI training to individuals and organizations worldwide

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