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Genetic insurance and the value of genetic information
(2024)Losing at the genetic lottery can put you at a higher risk for debilitating illnesses, disability, or early death. This paper investigates the value of learning about one’s risk, e.g. through genetic testing, when the information cannot be used to influence health outcomes. In a 3-periods setting where insurance markets are complete, I show that individuals prefer consumption levels that depend on their risk type, suggesting that genetic ...Working Paper -
Scaling of Hybrid QDs-Graphene Photodetectors to Subwavelength Dimension
(2023)arXivEmerging colloidal quantum dot (cQD) photodetectors currently challenge established state-of-the-art infrared photodetectors in response speed, spectral tunability, simplicity of solution processable fabrication, and integration onto curved or flexible substrates. Hybrid phototransistors based on 2D materials and cQDs, in particular, are promising due to their inherent photogain enabling direct photosignal enhancement. The photogain is ...Working Paper -
Do Mobile Applications Foster Sustainable Mobility? Evidence From a Field Experiment
(2022)SSRNMobile applications hold promise to foster sustainable mobility behavior, but evaluations of their effectiveness are subject to a number of empirical challenges. We conduct a randomized controlled trial with three distinctive features: unobtrusive tracking of the control group, limited sample attrition, and a representative sample. In our study, 410 participants track their mobility behavior over a five week period. After one week, the ...Working Paper -
sectorgap: An R Package for Consistent Economic Trend Cycle Decomposition
(2024)KOF Working PapersDetermining potential output and the output gap—two inherently unobservable variables—is a major challenge for macroeconomists. This paper presents the R package sectorgap, which features a flexible modeling and estimation framework for a multivariate Bayesian state space model identifying economic output fluctuations consistent with subsectors of the economy. The proposed model is able to capture various correlations between output ...Working Paper -
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
(2023)arXivNormalization layers are one of the key building blocks for deep neural networks. Several theoretical studies have shown that batch normalization improves the signal propagation, by avoiding the representations from becoming collinear across the layers. However, results on mean-field theory of batch normalization also conclude that this benefit comes at the expense of exploding gradients in depth. Motivated by these two aspects of batch ...Working Paper -
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
(2022)arXivUnderstanding deep learning model behavior is critical to accepting machine learning-based decision support systems in the medical community. Previous research has shown that jointly using clinical notes with electronic health record (EHR) data improved predictive performance for patient monitoring in the intensive care unit (ICU). In this work, we explore the underlying reasons for these improvements. While relying on a basic attention-based ...Working Paper -
Disentangling the Effects of Structure and Lone-Pair Electrons in the Lattice Dynamics of Halide Perovskites
(2023)arXivMetal halide perovskites have shown great performance as solar energy materials, but their outstanding optoelectronic properties are paired with unusually strong anharmonic effects. It has been proposed that this intriguing combination of properties derives from the "lone pair" electrons of the octahedral metal cations, but the precise impact of this chemical feature remains unclear. Here we show that in fact a lone pair of electrons is ...Working Paper -
Quantum dichotomies and coherent thermodynamics beyond first-order asymptotics
(2023)arXivWe address the problem of exact and approximate transformation of quantum dichotomies in the asymptotic regime, i.e., the existence of a quantum channel E mapping ρ⊗n1 into ρ⊗Rnn2 with an error ϵn (measured by trace distance) and σ⊗n1 into σ⊗Rnn2 exactly, for a large number n. We derive second-order asymptotic expressions for the optimal transformation rate Rn in the small, moderate, and large deviation error regimes, as well as the ...Working Paper -
Human neuron subtype programming through combinatorial patterning with scRNA-seq readouts
(2023)bioRxivHuman neurons programmed through transcription factor (TF) overexpression model neuronal differentiation and neurological diseases. However, programming specific neuron types remains challenging. Here, we modulate developmental signaling pathways combined with TF overexpression to explore the spectrum of neuron subtypes generated from pluripotent stem cells. We screened 480 morphogen signaling modulations coupled with NGN2 or ASCL1/DLX2 ...Working Paper -
V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation
(2023)bioRxivThe large amount and diversity of viral genomic datasets generated by next-generation sequencing technologies poses a set of challenges for computational data analysis workflows, including rigorous quality control, adaptation to higher sample coverage, and tailored steps for specific applications. Here, we present V-pipe 3.0, a computational pipeline designed for analyzing next-generation sequencing data of short viral genomes. It is ...Working Paper