Bioinformatics

Research:

Bioinformatics and Biomolecular Engineering Faculty

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z


	Phillip Berman Professor Biomolecular Engineering	831-459-3529 Physical Sciences room 405E
	Drug development, vaccines, AIDS, monoclonal antibody therapeutics, immunology, molecular cell/biology, recombinant protein production (commercial scale)


	David Deamer Research Professor Biomolecular Engineering	831-459-5158 Physical Sciences room 405B
	Membrane biophysics, model membrane systems and transport mechanisms, molecular self-assembly, nanotechnology.


	Camilla Forsberg Assistant Professor Biomolecular Engineering	831-459-2111 Physical Sciences room 310
	Hematopoietic stem cells, transcriptional regulation, chromatin, blood cell development, cell surface receptors, genomics


	Dietlind Gerloff Assistant Professor Biomolecular Engineering	831-459-4833 Physical Sciences room 320
	Protein to protein interactions, protein function prediction, functional genomics, protein structure prediction


	David Haussler Professor Biomolecular Engineering	831-459-2105 Engineering 2 room 501A
	Genomics, human genetics, evolutionary biology, developmental biology, bioinformatics


	Kevin Karplus Professor Biomolecular Engineering	831-459-4250 Physical Sciences room 318
	Protein structure prediction, protein design


	Todd Lowe Assistant Professor Biomolecular Engineering	831-459-1511 Physical Sciences room 316
	Non-coding RNAs (prediction and experimental study); extremophile biology, comparative genomics, functional genomics using DNA microarrays, modeling gene structure and regulation


	Nader Pourmand Assistant Professor Biomolecular Engineering	831-502-7315 Physical Sciences room 314
	Biosensores, microarray, nanotechnology, pathogens, sequencing, genotyping, DNA fingerprinting


	Joshua Stuart Assistant Professor Biomolecular Engineering	831-459-1344 Physical Sciences room 308
	Computational functional genomics, comparative analysis of gene regulation, cross-species inference of gene networks, probabilistic graphical models