Bioinformatics Fellows Program

The Core has up to 5 slots for postdoctoral trainees and graduate students to invest a defined period of their research time at UT Southwestern training with the BICF team. While the overall scientific supervision and salary support will remain the responsibility of the Fellow’s mentor (not BICF), the Bioinformatics Fellows Program allows trainees to immerse themselves in an environment where they work under expert guidance and interact with peers who study similar problems. BICF leadership selects new Fellow projects which have optimal synergy and/or complementarity to existing projects. This provides a unique training environment in computational biomedical sciences that is unparalleled within individual labs.

Current Fellows

PI Lab

Fellow Project

Eslam Elghonaimy Aguilera Lab Single-cell analysis to determine tumor heterogeneity.
Harshida Pancholi Roberts Lab Modelling motor-associated neuronal activity in the songbird brain.
Adam Lopez Burstein Lab RNA-seq analysis to determine what changes in expression level are responsible for driving tumor formation

Application and Selection Process

It is expected that researchers enrolling in the Bioinformatics Fellows Program bring with them basic expertise in mathematics, statistics, and computer programming so they can work independently toward the goals of their projects. BICF will provide access to the necessary computing infrastructure and support of our existing intellectual framework, creating an environment within which the Fellows will thrive.

Due to the Covid-19 pandemic we will be suspending new applicants to the Fellowship Program until further notice.

To apply, email inquires to the BICF Help Desk. The selection process is as follows:

  1. Initial consultation between candidate, responsible mentor, and BICF Director to define the scope of the project and its appropriateness for the Bioinformatics Fellows program. This will include an assessment of the candidate’s previous training in areas required for successful completion of the project, from which a rough training and project plan will emerge.
  2. The candidate prepares a 1-page proposal including a specific timeline with milestones that will serve as the basis for constructive communication between BICF and the Fellow’s responsible mentor on the project status. If necessary, the proposal is iteratively improved upon via dialogue between the candidate and BICF staff.
  3. The final version of the proposal will be submitted for approval to the BICF leadership, which will oversee staff assignments and other resource allocations to the fellowship. Applications are reviewed quarterly.
  4. BICF leadership confirms the candidate as a Fellow and project work begins when a slot is available for a new fellow.

Bioinformatics Fellows Program Alumni


PI Lab

Fellow Project

Gervaise Henry Strand Lab Single cell transcriptomics in prostate.
Ling Cai Quantitative Biomedical Research Center Identification of disease causing variant from research whole exome sequencing data.
ShengSyong Shih (Terry) Moody Foundation Flow Cytometry Creation of t-SNE and SPADE algorithm pipelines into Astrocyte Pipeline for Flow Cytometry.
Orlando Miranda Donic Lab Learning clustering algorithms, analysis of stationary signals, statistical tools for high-dimensional data and visualization techniques for highly heterogeneous data. 
Jiapei Yuan Mani Lab How DNA interactions are regulated during prostate cancer development using chromatin interaction analysis by paired-end tag sequencing (ChIA-PET).
Kyung-min Lee Arteaga Lab Analysis of RNA-seq and Chip-seq data to investigate transcriptional programs associated with novel interactors revealed by the nuclear receptor ligand profiling.