Chris Wiggins | |
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| Born | 1971  |
| Alma mater | |
| Occupation | Mathematician, scientist, university teacher |
| Employer | Columbia University |
| Known for | co-founding hackNY Chief Data Scientist at The New York Times |
Chris Wiggins is an associate professor of applied mathematics at Columbia University. [1] In 2010 he co-founded hackNY, a nonprofit organization focused on connecting students with startups in New York City. [2] Since 2014, he has been the Chief Data Scientist at The New York Times . [3] [4]
In 2017, Chris Wiggins, along with Matthew L. Jones, introduced a new course to Columbia called "Data: Past, Present, Future". [5] The course syllabus, lectures, labs, and resources are available online. [6]
In 2007, he received the Janette and Armen Avanessians Diversity Award at Columbia University. [8]
A thermophile is an organism—a type of extremophile—that thrives at relatively high temperatures, between 41 and 122 °C. Many thermophiles are archaea, though some of them are bacteria and fungi. Thermophilic eubacteria are suggested to have been among the earliest bacteria.
Alfred Vaino Aho is a Canadian computer scientist best known for his work on programming languages, compilers, and related algorithms, and his textbooks on the art and science of computer programming.
Computational biology refers to the use of data analysis, mathematical modeling and computational simulations to understand biological systems and relationships. An intersection of computer science, biology, and big data, the field also has foundations in applied mathematics, chemistry, and genetics. It differs from biological computing, a subfield of computer science and engineering which uses bioengineering to build computers.
Vasant G. Honavar is an Indian-American computer scientist, and artificial intelligence, machine learning, big data, data science, causal inference, knowledge representation, bioinformatics and health informatics researcher and professor.
The Donald E. Knuth Prize is a prize for outstanding contributions to the foundations of computer science, named after the American computer scientist Donald E. Knuth.
Carman Hall is a dormitory located on Columbia University's Morningside Heights campus and currently houses first-year students from Columbia College as well as the Fu Foundation School of Engineering and Applied Science.
Jeannette Marie Wing is Avanessians Director of the Data Science Institute at Columbia University, where she is also a professor of computer science. Until June 30, 2017, she was Corporate Vice President of Microsoft Research with oversight of its core research laboratories around the world and Microsoft Research Connections. Prior to 2013, she was the President's Professor of Computer Science at Carnegie Mellon University, Pittsburgh, Pennsylvania, United States. She also served as assistant director for Computer and Information Science and Engineering at the NSF from 2007 to 2010. She was appointed the Columbia University executive vice president for research in 2021.
Network motifs are recurrent and statistically significant subgraphs or patterns of a larger graph. All networks, including biological networks, social networks, technological networks and more, can be represented as graphs, which include a wide variety of subgraphs.
Jack Y. Yang is an American computer scientist and biophysicist. As of 2011, he is the editor-in-chief of the International Journal of Computational Biology and Drug Design.
Cynthia Dwork is an American computer scientist best known for her contributions to cryptography, distributed computing, and algorithmic fairness. She is one of the inventors of differential privacy and proof-of-work.
Informatics is the study of computational systems. According to the ACM Europe Council and Informatics Europe, informatics is synonymous with computer science and computing as a profession, in which the central notion is transformation of information. In some cases, the term "informatics" may also be used with different meanings, e.g. in the context of social computing, or in context of library science.
A supertree is a single phylogenetic tree assembled from a combination of smaller phylogenetic trees, which may have been assembled using different datasets or a different selection of taxa. Supertree algorithms can highlight areas where additional data would most usefully resolve any ambiguities. The input trees of a supertree should behave as samples from the larger tree.
In metagenomics, binning is the process of grouping reads or contigs and assigning them to individual genome. Binning methods can be based on either compositional features or alignment (similarity), or both.
Mathieu Daniel Blanchette is a computational biologist and Director of the School of Computer Science at McGill University. His research focuses on developing new algorithms for the detection of functional regions in DNA sequences.
A gene co-expression network (GCN) is an undirected graph, where each node corresponds to a gene, and a pair of nodes is connected with an edge if there is a significant co-expression relationship between them. Having gene expression profiles of a number of genes for several samples or experimental conditions, a gene co-expression network can be constructed by looking for pairs of genes which show a similar expression pattern across samples, since the transcript levels of two co-expressed genes rise and fall together across samples. Gene co-expression networks are of biological interest since co-expressed genes are controlled by the same transcriptional regulatory program, functionally related, or members of the same pathway or protein complex.
The human interactome is the set of protein–protein interactions that occur in human cells. The sequencing of reference genomes, in particular the Human Genome Project, has revolutionized human genetics, molecular biology, and clinical medicine. Genome-wide association study results have led to the association of genes with most Mendelian disorders, and over 140 000 germline mutations have been associated with at least one genetic disease. However, it became apparent that inherent to these studies is an emphasis on clinical outcome rather than a comprehensive understanding of human disease; indeed to date the most significant contributions of GWAS have been restricted to the “low-hanging fruit” of direct single mutation disorders, prompting a systems biology approach to genomic analysis. The connection between genotype and phenotype remain elusive, especially in the context of multigenic complex traits and cancer. To assign functional context to genotypic changes, much of recent research efforts have been devoted to the mapping of the networks formed by interactions of cellular and genetic components in humans, as well as how these networks are altered by genetic and somatic disease.
Ümit V. Çatalyürek is a professor of computer science at the Georgia Institute of Technology, and Adjunct Professor in department of Biomedical Informatics at the Ohio State University. He is known for his work on graph analytics, parallel algorithms for scientific applications, data-intensive computing, and large scale genomic and biomedical applications. He was the director of the High Performance Computing Lab at the Ohio State University. He was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2016 for contributions to combinatorial scientific computing and parallel computing.
Rediet Abebe is an Ethiopian computer scientist working in algorithms and artificial intelligence. She is an assistant professor of computer science at the University of California, Berkeley. Previously, she was a Junior Fellow at the Harvard Society of Fellows.
Christopher E. Mason is a professor of Genomics, Physiology, and Biophysics at Weill Cornell Medicine. He is also one of the founding Directors of the WorldQuant Initiative for Quantitative Prediction together with Olivier Elemento. Mason has co-founded four biotechnology startup companies including Onegevity Health, Biotia, BridgeOmics, and Nurture Genomics. He holds four patents related to his research.
Black in AI, formally called the Black in AI Workshop, is a technology research organization and affinity group, founded by computer scientists Timnit Gebru and Rediet Abebe in 2017. It started as a conference workshop, later pivoting into an organization. Black in AI increases the presence and inclusion of Black people in the field of artificial intelligence (AI) by creating space for sharing ideas, fostering collaborations, mentorship, and advocacy.
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