A Politics of the Unspeakable: The Differend of Israel

Israel's establishment in 1948 in former British-Mandate Palestine as a Jewish country and as a liberal democracy is commonly understood as a form of response to the Holocaust of WWII. Zionist narratives frame Israel's establishment not only as a response to the Holocaust, but also as a return to the Jewish people's original homeland after centuries of wandering in exile. Debates over Israel's policies, particularly with regard to Palestinians and to the country's non-Jewish population, often center on whether Israel's claims to Jewish singularity are at the expense of principles of liberal democracy, international law and universal human rights. In this dissertation, I argue that Israel's emphasis on Jewish singularity can be understood not as a violation of humanism's universalist frameworks, but as a symptom of the violence inherent to these frameworks and to the modern liberal rights-bearing subject on which they are based. Through an analysis of my fieldwork in Israel (2005-2008), I trace the relation between the figures of "Jew" and "Israeli" in terms of their historical genealogies and in contemporary Israeli contexts. Doing so makes legible how European modernity and its concepts of sovereignty, liberalism, the human, and subjectivity are based on a metaphysics of presence that defines the human through a displacement of difference. This displaced difference is manifest in affective expression. This dissertation shows how the figure of the Jew in relation to Israel reveals sexual difference as under erasure by the suppression of alterity in humanism's configuration of man, woman, and animal, and suggests a political subject unable to be sovereign or fully represented in language.

An active learning approach for rapid characterization of endothelial cells in human tumors.

Currently, no available pathological or molecular measures of tumor angiogenesis predict response to antiangiogenic therapies used in clinical practice. Recognizing that tumor endothelial cells (EC) and EC activation and survival signaling are the direct targets of these therapies, we sought to develop an automated platform for quantifying activity of critical signaling pathways and other biological events in EC of patient tumors by histopathology. Computer image analysis of EC in highly heterogeneous human tumors by a statistical classifier trained using examples selected by human experts performed poorly due to subjectivity and selection bias. We hypothesized that the analysis can be optimized by a more active process to aid experts in identifying informative training examples. To test this hypothesis, we incorporated a novel active learning (AL) algorithm into FARSIGHT image analysis software that aids the expert by seeking out informative examples for the operator to label. The resulting FARSIGHT-AL system identified EC with specificity and sensitivity consistently greater than 0.9 and outperformed traditional supervised classification algorithms. The system modeled individual operator preferences and generated reproducible results. Using the results of EC classification, we also quantified proliferation (Ki67) and activity in important signal transduction pathways (MAP kinase, STAT3) in immunostained human clear cell renal cell carcinoma and other tumors. FARSIGHT-AL enables characterization of EC in conventionally preserved human tumors in a more automated process suitable for testing and validating in clinical trials. The results of our study support a unique opportunity for quantifying angiogenesis in a manner that can now be tested for its ability to identify novel predictive and response biomarkers.