Richard Frazin

I have always been fascinated by how scientists learn about the Universe we all share.  After all, no one  can measure the  temperature in the center of a star or see subatomic particles.  This curiosity about the scientific learning process naturally led me to questions about the information content of various types of data.  In particular, I have been researching issues that involve retrieving 3D (and more D) information from many types of 2D images of the Sun.  Recently, I have become fascinated with the problem of directly imaging planets around other stars.  This is an extraordinarily challenging problem because the star will outshine any of its planets by a factor of at least one million, making the problem somewhat akin to trying to read street signs when driving at night into somebody's headlights with a really dirty windshield.