Dr. Carl Nettelblad

Biography

Carl Nettelblad is a professor with a focus on scientific computing and life science applications. His research emphasizes data analysis utilizing modern computing architectures, including GPU computations and massive parallelism. He addresses critical questions regarding the trade-off between experimental result quality and sophisticated computational methods, aiming to yield meaningful insights from original data. His work is essential in developing analytical methods that can automatically identify and handle errors, inaccuracies, and missing data within large datasets— a central aspect of modern scientific inquiry. Currently, his research includes collaborations in single-particle coherent diffraction imaging using X-ray free electron lasers, as well as modeling haplotype structures and genotype imputation for low-coverage genomic data. He is also interested in exploring applications of statistical modeling for massive computational challenges relevant to the life sciences. Carl's extensive experience includes participation in international science competitions. He actively seeks collaboration opportunities in areas related to data analysis and bioinformatics, and is open to discussing PhD and postdoc positions.

Research Interests

Experience