AI/ML-Driven Scientific Advances: A Personal Journey, Lessons, & Outlook

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#Machine Learning #Artificial Intelligence #Molecular Biology #Bioengineering #Nanobiology #Molecular Biophysics

Dr. Amarda Shehu narrates a fascinating journey that begins with the nature of reality, deeply examines recent advances in computational biology, and concludes with future challenges.

Human thought and scientific inquiry have undergone various stages of evolution, from Greek idealism, classical scientific, modern pre-digital scientific, and all the way to the modern digital, a data-centric era in which we are now living.

Our day-to-day reality, scientific disruptions, and revolutions are now almost entirely defined, shaped, and guided by the data.

One can make a strong case that biology was one of the early sciences reshaped by the amount of the data collected by throughput technologies, spewing off entire new sub-disciplines, such as computational biology and bioinformatics, and undergoing minor and large disruptions at a rapidly increasing pace.

Dr. Amarda Shehu's AI research bears witness to such an evolution, both in the questions we can now ask and answer, and the methodologies with which we can suddenly unravel complex problems. She offers a rapid view of this evolution through a highly personal lens on bioinformatics.

The end of the talk provides diverse examples of scientific advances at the intersection of AI/ML and the material sciences, social sciences, civil engineering, urban planning, and more.

The talk concludes with some lessons learned and wishes for the process of scientific discovery and the education of the next generation of scientists.

Dr. Amarda Shehu narrates a fascinating journey that begins with the nature of reality, deeply examines recent advances in computational biology, and concludes with future challenges.

Human thought and scientific inquiry have undergone various stages of evolution, from Greek idealism, classical scientific, modern pre-digital scientific, and all the way to...

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