Danting Jiang, Ph.D. Email & Phone Number

Oakland, Ca, Us

California, United States

Emeryville, California, United States

Durham, North Carolina, United States

•Refining doctoral research projects (4 first-authored manuscripts) towards full publication in peer-reviewed journals, which has led to a pending patent, a $7.5 million NIH grant, and media recognition at a large international conference.https://news.unchealthcare.org/2023/06/de-paris-receives-grant-to-study-hiv-vaccination-in-infant-disease-models/https://www.bioworld.com/articles/694630-intestinal-bacteria-prevent-hiv-infection-in-vitro

Durham, North Carolina, United States

•Led the analysis and integration of high-dimensional multi-omics datasets to study the microbiome, vaccines, and human diseases.•Utilized regression-based methods, predictive modeling and machine learning to identify disease-associated features.•Designed and implemented bioinformatic pipelines that 1) optimize the discovery of target biomarkers that protect against disease for efficient experimental validation and 2) enable fast translational confirmation in human cohorts.•Developed novel methods for microbiome phylogenetic diversity statistics using topological-data-analysis approaches, achieving 98-99% accuracy within a fraction of the time required by conventional methods (minutes vs. hours/days).•Mentored a lab-affiliated undergrad (CS major, now at Expedia) to conduct bioinformatic research and get accepted into PhD programs.•Provided statistical and computational consultation to experimental biologist lab members and collaborators.•Wrote proposals for impact-driven research projects and won a $60,000 Duke award to advance the work in-progress.•Presented work at various venues, including meetings with collaborators from across the continents and international conferences with 4,000+ attendees. Received several new investigator scholarships and best presentation awards.(@Neil Surana Lab, School of Medicine)

Durham, North Carolina, United States

•Taught two graduate-level analytical courses, impacting about 100 students across four departments at Duke (math/stats/CS/biostats).1) Intro to high-dimensional data analysis: covers the mathematics of supervised and unsupervised machine learning. 2) Analysis of correlated and longitudinal data: covers the theory of generalized linear mixed model with application in R/SAS.(Responsibilities: coordinated lectures, graded homework assignments, held weekly office hours, and created original study materials)

Durham, North Carolina, United States

•Developed analysis plans and performed exploratory meta-analysis on cross-sectional andlongitudinal microbiome datasets from multiple HIV vaccine studies.•Attended weekly seminars led by pioneer scholars at Duke to obtain domain knowledge in HIV/AIDS research and its sociological aspects. •Selected as the only summer intern to present orally at the organization's annual scientific retreat.(Position funded by NIAID)

Tarrytown, New York, United States

PhD Intern at Regeneron Pharmaceuticals Inc., Early Clinical Development and Experimental Sciences-Precision Medicine Quantitative Translational Sciences, Summer 2022.•Optimized statistical learning algorithms to diagnose a rare genetic disease (lipodystrophy) by modeling data from large-scale public health databases, curating biometric inputs, and identifying confounding demographic factors.•Drafted a manuscript based on internship project, which helped improve the patient screening criteria used in trials.

Williamsburg, Virginia, United States

•Aligned 27 genomes of wild yeast isolates from different biogeographical backgrounds using state-of-the-art bioinformatics tools implemented in Unix shell. •Developed custom Python pipelines to automate data extraction and statistical testing for over 5,000 genes in each genome. Identified one out of all genes that indicated molecular adaptation, which is now being further studied by the lab.•Presented research at national scientific conferences and received a best undergraduate talk award. (@Helen Murphy Lab, Biology Department)

Williamsburg, Virginia, United States

•Assisted in microbiology laboratory sessions for three semesters, impacting over 200 students. Set up equipment, prepared media, and inoculated microbes for teaching purposes. Helped students with lab projects by explaining experimental procedures, answering questions, and preserving lab safety.

Williamsburg, Virginia, United States

•Held custom one-on-one tutoring sessions to assist student-athletes in their study of microbiology for four hours a week.

Williamsburg, Virginia, United States

•Planned and orchestrated the first and second William and Mary World’s Fair, which involved 10+ participating student cultural organizations and an audience/attendees of 100+ each time (including students, faculty member, and local residents). •Designed graphics, managed social media, and obtained photographic records of the event. •Organized 5-6 regular club activities per semester; communicated with club members via email on a weekly basis.

Doctor Of Philosophy - Phd, Computational Biology And Bioinformatics, Gpa: 3.8/4.0.

Activities and Societies: •Led a team of Duke PhD students to become semifinalists in the Penn Healthcare Case Competition (2021)•Awarded.

Bachelor Of Science - Bs, Biology, Mathematics (Double Major), Gpa: 3.8/4.0, Summa Cum Laude, Phi Beta Kappa, Honors Thesis.

Activities and Societies: •Member of Synchronized Swimming Team (3rd place in team routine at USA Collegiate Synchronized Swimming South.