Dina Zemlyanker

Data Science & Biochemistry // Class of 2024

Genghis Khan: Better than other warlords at more than just conquering land

“The greatest happiness is to vanquish your enemies, to chase them before you, to rob them of their wealth, to see those dear to them bathed in tears, to clasp to your bosom their wives and daughters.” This quote, by Genghis Khan, perfectly illustrates one key reason why the mutation in his Y chromosome was […]

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Using natural language processing to analyze religious text

Religion has sparked many a war over differences in beliefs and interpretations. And yet, the different religious texts on which these belief systems are built are quite similar. However, the textual data that exists in religious texts is difficult to analyze because of the multitude of different languages used. Additionally, texts often don’t follow typical

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AI Brain

Spatio-temporal Information and Applications of Spiking Neural Networks

The goal of artificial intelligence (AI) is to teach a computer how to think. So, it’s unsurprising that many of the strides made in AI and specifically machine learning — a subset of AI focused on using large collections of data to teach a computer rules through discovering patterns — have been based on biological

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Chaos Theory and Machine Learning

Chaos theory says that even the most seemingly random processes can actually be described and predicted using a set of complex mathematical equations. The original equation used to define chaotic activity is the Kuramoto-Sivashinsky equation, which models propagating flames. Using this equation, one can model the chaotic elements of many different processes. For example, in

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Hidden Markov Models for biochemical applications

As the amount of data in the biological field expands exponentially as a result of more efficient biological processes, such as Next Gen Sequencing, machine learning has become a tool to leverage this data for contributions to the drug development and medicinal fields. One of the most widely utilized machine learning models is the Hidden

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Gamma band stimulation: A promising new treatment for Alzheimer’s

Alzheimer’s disease is a vicious illness most often characterized by drastic decline in cognitive function including memory loss and confusion — frequently causing severe emotional stress for the affected along with their family and friends. Fortunately, recent technology, called gamma band neural stimulation, has emerged, showing promise of having a significant impact on Alzheimer’s. Although

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Revolutionizing drug discovery with molecular modeling

Developing and releasing a new drug is one of the most challenging tasks that pharmaceutical companies have. The main effect of this challenge is that about 97 percent of new drug projects fail and never reach the market, resulting in a lack of clinical efficacy. Molecular modeling, however, has proven to be a valuable asset

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