ESP Biography

In each one of your cells is a copy of your genome – a 3.2 billion-letter-long DNA biomolecule which serves as the blueprint of your body. These letters - the language of life - can offer valuable insights into the mechanisms underlying normal biology and disease. However, the sheer size and complexity of the genome makes it impossible for physicians and scientists to manually analyze and interpret genomic datasets. In recent decades, the field of computational biology has emerged to address this challenge. By developing methods and algorithms to analyze genomic sequencing data, computational biologists have made new biological discoveries and are advancing the dream of precision medicine. In this course, you will dive into this exciting field at the intersection of computer science and biology. You will learn about the central dogma of biology (DNA --> RNA --> protein) and modern sequencing technologies which can measure molecules in each step of this process. Then, you will learn about algorithms which can use this sequencing data to solve important tasks, from identifying disease-associated genes to predicting treatment response/resistance to designing new antibodies for next-generation therapies. You will leave the course with a foundation to build upon so that you can one day shape the future of medicine.

In each one of your cells is a copy of your genome – a 3.2 billion-letter-long DNA biomolecule which serves as the blueprint of your body. These letters are the language of life and can offer valuable insights into the mechanisms underlying normal biology and disease. However, the sheer size and complexity of the genome makes it impossible for doctors and scientists to manually analyze and interpret genomic datasets. In recent decades, the field of computational biology has emerged to address this challenge. By developing methods and algorithms to analyze genomic sequencing data, computational biologists have made new biological discoveries and are advancing the dream of precision medicine. In this course, you will dive into this exciting field at the intersection of computer science and biology. You will learn about the central dogma of biology (DNA --> RNA --> protein) and modern sequencing technologies which can measure molecules in each step of this process. Then, you will learn about algorithms which can use this sequencing data to solve important tasks, from identifying disease-associated genes to predicting treatment response/resistance to designing new antibodies for next-generation therapies. You will leave the course with a foundation to build upon so that you can one day shape the future of medicine.