Eleftheria K Pissadaki

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Adjunct Instructor
Division of Applied Undergraduate Studies
Education
BS, Department of Mathematics, University of Crete
MS, Faculty of Medicine, University of Crete, Greece
PHD, Department of Biology, University of Crete

Dr. Eleftheria K. Pissadaki is an interdisciplinary systems thinking researcher, blending her expertise in neuroscience, biology, and mathematics. She brings extensive experience from academia and industry, having worked with organizations such as IBM, Biogen, the Medical Research Council, and the University of Oxford. Her research integrates diverse disciplines to tackle complex, real-world challenges.
Dr. Pissadaki is recognized for her groundbreaking studies at the University of Oxford and the Medical Research Council, where she used artificial intelligence and systems biology to anatomically and physiologically characterize neurons vulnerable to degeneration. This research, supported by the Parkinson's UK Innovation Grant and the MRC Centenary Early Career Awards, has significantly advanced understanding in this critical area of neuroscience.
In digital medicine, Dr. Pissadaki has addressed challenges in human activity recognition, natural language processing, and early detection and assessment of Alzheimer’s and Parkinson’s disease. She has held key roles in joint ventures and collaborations with leading organizations, including Biogen, Apple, Neurolex Labs, IBM, and Pfizer.
Dr. Pissadaki's research contributions extend to emerging technologies, with publications and patents in areas such as blockchain, neuroscience-inspired AI, and smart cities.
Invited to mentor students at the We Are Family and New York Academy of Sciences organizations, Dr. Pissadaki has also guided students during their internships in corporate environments. She mentors students in applied projects, including designing databases for smart cities, integrating AI into database systems, and developing innovative tools for fraud detection and assistive communication. Her students have earned recognition for their work, including awards in capstone competitions and conference publications.
Courses
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Applied Data Analytics I
ADAV1-UC1000
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Independent Study
ADAV1-UC7993
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Statistical Measurements, Analysis & Research
INTG1-GC1055
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Foundations of Business Analytics
MASY1-GC2000
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Advanced Business Analytics
MASY1-GC2100
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Data Process and Structure
MASY1-GC3505
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Applied Project
MASY1-GC4100
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Marketing Analytics
MKAN1-UC5103
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Human Biology
SCNC1-UC2001