Amira Kefi is a Biomedical Engineer, Bioinformatician, and Computational Scientist with a Ph.D. in Biomedical Engineering from the University of Illinois at Chicago, where she conducted research on detecting novel genes in the human brain using second and third-generation sequencing techniques and validating these findings through deep learning methods. Her work, under the guidance of Dr. Chunyu Liu, was focused on the intersection of computat...
Amira Kefi is a Biomedical Engineer, Bioinformatician, and Computational Scientist with a Ph.D. in Biomedical Engineering from the University of Illinois at Chicago, where she conducted research on detecting novel genes in the human brain using second and third-generation sequencing techniques and validating these findings through deep learning methods. Her work, under the guidance of Dr. Chunyu Liu, was focused on the intersection of computational biology and high-performance computing.
In addition to her academic achievements, Amira holds master's degrees in Bioinformatics (Fulbright Scholar) and Computer Science. She has extensive experience in bioinformatics, including RNA sequencing, DNA methylation analysis, and bioinformatics tools like Bowtie, TopHat, and Bioconductor for microarray and sequencing data analysis.
Amira has contributed to various publications in high-impact journals, including Science and Molecular Cell, and has a strong technical background in programming, AI/machine learning, and parallel programming. She is also involved in teaching, mentoring, and leadership, having served as a teaching assistant at the University of Illinois at Chicago and as a leader for data science community service projects for underserved populations. She is fluent in multiple languages and has received numerous awards for her academic and community service work.