The Razavi Newman
Integrative Genomics and Bioinformatics Core


Salk Institute for Biological Studies - The Razavi Newman
Integrative Genomics and Bioinformatics Core - People

Facility Staff

Max Shokhirev

Sr. Director and Senior Staff Scientist
Integrative Genomics and Bioinformatics Core

Max comes from a family of scientists and has worked on diverse projects across Biochemistry, Computer Science, Immunology, Genomics, and Systems Biology. In 2014, Max obtained his Ph.D. in Bioinformatics and Systems Biology from UCSD building mathematical models of the single-cell immune response and joined the Salk IGC in September of that year. As director, Max oversees and trains a talented team of analysts and interns, liaises with the Salk sequencing core and IT department to ensure the smooth flow of data from sequencer through analysis, educates the Salk scientific community about the strengths and limitations of various technologies and analyses, and collaborates with dozens of labs on exciting bioinformatics and genomics projects. In addition, as Sr. Staff Scientist, Max applies for collaborative grants that focus on the development of new integrative bioinformatics tools and approaches.

Please feel free to contact Max or the entire IGC to start our collaboration.

April Williams

Bioinformatics Analyst III
Integrative Genomics and Bioinformatics Core

April joined the core in April of 2018! She obtained her Ph.D. in Quantitative & Computational Biology and MA in Molecular Biology from Princeton University in 2015. During her graduate work she studied transcriptional control in the malaria parasite P. falciparum, and molecular mechanisms of somatic and reproductive aging in C. elegans using a whole-genome approach. After graduate school April completed a post-doc in the lab of Abraham Palmer, working on several genome-wide association studies to find the genetic basis of complex behavioral traits. April has a strong background in experimental design, genomics, bioinformatics, statistics, population biology, and high-throughput sequencing technologies and has worked with many model and non-traditional organisms. April is looking forward to participating in a wide-range of collaborations as a part of the IGC.

Jingting Yu

Bioinformatics Analyst II
Integrative Genomics and Bioinformatics Core

Jingting received her Ph.D. and M.S. degrees from Case Western Reserve University in Epidemiology and Biostatistics at May 2019 and then joined the IGC in the same year. Her graduation works focused on the development of statistical methods to evaluate the effects of chromatin organization in eQTL mapping and the effects of design factors in caner single-cell studies. Jingting is knowledgeable in statistical analysis, data mining, and bioinformatics. She is also interested in integrating single-cell and spatial transcriptome data to study intercellular communication networks. As part of IGC, Jingting is looking forward to future collaboration.

Yuqing Hang

Bioinformatics Analyst I
Integrative Genomics and Bioinformatics Core

Yuqing joined the IGC core in September of 2021 after she obtained her Ph.D. in Biochemistry from Clemson University. During her graduate study, she focused on data mining on the high-throughput RNA sequencing datasets to identify useful biomarkers for the correlation and regulation of complex trait like cancer. Yuqing has a strong background in genomics, bioinformatics, systems biology, and computational biology, which allows her to mine complex integrated datasets at the Salk. As a new Bioinformatics analyst, Yuqing is looking forward to participating in collaborations as a member of IGC.

Kat Lande

Bioinformatics Analyst I
Integrative Genomics and Bioinformatics Core

Kat joined the IGC in November 2021. She received her M.S. in Genome Science and Technology from the University of British Columbia in 2021 for her work investigating how inversions and other structural variants influence differential adaptation in wild sunflower populations. Kat also holds a B.S. in Honours Biology from McGill University, which she received in 2018. Her background is in genomics, bioinformatics, statistics, molecular biology, and genetics. Kat enjoys learning new skills and subjects and looks forward to collaborating with you and learning more about your research!


The IGC is committed to training the next generation of bioinformatics scientists. An internship with the IGC provides hands-on experience with analysis of cutting-edge biological datasets, HPC computing in a Linux environment, bioinformatics tool development, and participation in local scientific conferences. If you are interested in an internship at the IGC, please send a cover letter and unofficial transcript to