Austin Wang Email & Phone Number

California, United States

Stanford, Ca, Us

Machine learning for regulatory genomics at the Kundaje Lab. Current projects include:・ Developing rigorous evaluations of DNA language models on non-coding regulatory DNA syntax. ・ Developing an accurate, high-performance, GPU-accelerated convex optimization method for identifying sequence motifs in neural network contribution scores.・ Using sequence-based deep learning models for chromatin accessibility to uncover differential cardiac developmental patterns across species・ Large-scale processing and analysis of single-cell transcriptomic and accessibility data into integrated atlases

Boston, Ma, Us

Researcher at Dana Farber Cancer Institute / Harvard Medical School・ Developing methods to impute gene expression into GWAS data to identify gene-disease associations・ Leveraging both Allele-Specific Expression and eQTL Data to deduce SNP-gene relationships・ Working with Python, R, Celery, ASE Data, eQTL Data

Cambridge, Ma, Us

Researcher at the Berger Group・ Computationally modeling RNA-Protein binding with k-mer based methods, using machine learning and data science skills ・ Creating a tool for biologists to deduce RNA-Protein interactions without experimentation ・ Working with Python, Celery, L-BFGS, CLIP Data, RNACompete Data

Researcher at the Langer Lab・ Created timed multi-burst vaccines using biodegradable polymer microparticles ・ Evaluated and optimized particle release kinetics ・ Worked with biopolymers, fluorescent confocal microscopy, spectrophotometry, immunoassays

Cambridge, Massachusetts, Us

・ Developed transgenic red blood cells as a living, non-invasive therapeutic platform ・ Created enzyme-expressing red blood cells to selectively destroy autoantibodies causing Membranous Nephropathy ・ Worked with sequencing, PCR, Western Blotting, cell culture, viral transduction

Researcher at the Center for Applied Molecular Medicine (Agus Lab)・ Studied the kinetics of testosterone signaling in prostate cancer ・ Analyzed localization response of testosterone receptors in prostate cancer cells ・ Worked with cell culture, fluorescent microscopy

Doctor Of Philosophy - Phd, Computer Science

Master Of Engineering - Meng, Computer Science

Bachelor Of Science - Bs, Computer Science And Molecular Biology

Education record