Who we are.

Our lab is powered by a talented, multidisciplinary team of researchers who have a passion for finding creative ways to solve hard problems. Members come from diverse backgrounds in biology (development, neuroscience, cancer, chemical biology), engineering (computer vision, machine learning, electrical engineering), and the mathematical/physical sciences (physics, statistics, mathematics). Lab members work in an unique collaborative environment of discovery and invention, and often work side-by-side with each other. Our areas of investigation are tied together scientifically through a desire to identify fundamental design principles of complex biological systems and improve human health, and are tied together technologically through quantitative microscopy, single-cell analysis, -omics technologies, computer vision, machine learning and mathematical modeling.

Positions available for graduate students and postdoctoral researchers.

The Altschuler and Wu laboratories welcome exceptional applicants interested in working at the cutting edge of quantitative biology and drug discovery.  

Graduate students: We are currently taking rotation students!

Postdoctoral applicants: Interested candidates should submit a brief one-page description of research interests and plans, a resume, and contact information for three references to Drs. Altschuler and Wu via e-mail (Steven.Altschuler and Lani.Wu who are both @ucsf.edu). Successful candidates will be committed to high impact research within a collaborative, diverse and inclusive research environment.

The Altschuler and Wu laboratories are building an exciting new program in neurodegeneration! have two open positions for 2017:

Postdoc position 1. Neurodegeneration. The Altschuler & Wu labs seek an experimental postdoc to pioneer systems biology approaches for investigating mechanisms of neurodegeneration and discovering drug leads. The successful candidate will work closely with a multidisciplinary team having expertise in neurodegeneration, quantitative biology, drug discovery and machine learning. Candidates with expertise in cell biology, molecular biology, iPSC-based cell models, and understanding of neurobiology are encouraged to apply.

Postdoc position 2. Machine learning/Computer vision/Computational biology. The Altschuler & Wu labs seek a computational postdoc to develop new machine learning approaches for understanding how cellular networks and behaviors change in cancer and neurodegeneration, and for predicting drugs that can revert disease states. The successful candidate will work closely with experimentalists to develop novel datasets and test predictions. Candidates with expertise in quantitative areas including machine learning, computer vision, electrical engineering, statistics, mathematics or physics are encouraged to apply.

Funding.

We are grateful to funding from ProjectALS, NIGMS, NCI, NSF, Stand up to Cancer, The V foundation, the UCSF Program for Breakthrough in Biomedical Research (PBBR) and the Institute for Computational Health Sciences (ICHS).