Skip to main content
Skip to content
Case File
efta-01829406DOJ Data Set 10Other

EFTA01829406

Date
Unknown
Source
DOJ Data Set 10
Reference
efta-01829406
Pages
2
Persons
0
Integrity

Summary

Ask AI About This Document

0Share
PostReddit

Extracted Text (OCR)

EFTA Disclosure
Text extracted via OCR from the original document. May contain errors from the scanning process.
To: Stephen Kosslyn From: Jeffrey Epstein Sent: Thur 7/2/2009 1:54:12 AM Subject: Re: definitely On Wed, Jul I, 2009 at 8:09 PM, Stephen Kosslyn ‹ > wrote: Hi Jeffrey.. This guy look worth talking to? The Statistics and Information Sciences Laboratory at Harvard University Patrick J. Wolfe, Principal Investigator Associate Professor of Electrical Engineering School of Engineering and Applied Sciences Department of Statistics, Harvard University Harvard-MIT Division of Health Sciences & Technology Mission Statement Our primary focus is the development of statistical models and inference algorithms that scale to contemporary problems in science and engineering. The field known today as signal processing has greatly expanded from its original focus on vector spaces to include new areas and paradigms ranging from the statisitical analysis of high-dimensional data such as graphs and matrices to the modeling of signals defined over manifolds and groups. Our methodological expertise spans machine learning and inference, computational harmonic analysis, and stochastic computation. Application areas range from signal and image processing to the analysis of large graphs and networks. s. JJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ Stephen M. Kosslyn Dean of Social Science John Lindsley Professor of Psychology in Memory of William James University Hall Harvard University Cambridge, MA 02138 voice: fax: web: http://www.wih.harvard.edunwn/ EFTA_R1_00205227 EFTA01829406 From: Jeffrey Epstein <[email protected]> Date: Mon, 2 Mar 2009 11:54:49 -0500 To: "Stephen M. Kosslyn" ‹ > any answer on osr person EFTA_R1_00205228 EFTA01829407

Technical Artifacts (2)

View in Artifacts Browser

Email addresses, URLs, phone numbers, and other technical indicators extracted from this document.

URLhttp://www.wih.harvard.edunwn

Forum Discussions

This document was digitized, indexed, and cross-referenced with 1,400+ persons in the Epstein files. 100% free, ad-free, and independent.

Annotations powered by Hypothesis. Select any text on this page to annotate or highlight it.