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Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning (2025)
Presentation / Conference Contribution
Milton, T., & Lieck, R. (2024, December). Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning. Presented at 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal

Type 1 diabetes is a chronic metabolic disease that requires regular insulin injections to regulate blood glucose levels. Recently, traditional manual approaches to diabetes management have been revolutionized by the use of continuous glucose monitor... Read More about Fully-Automated Patient-Agnostic Diabetes Management with Deep Reinforcement Learning.

High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam: Project Overview and First Data Release (2024)
Journal Article
Zhuang 庄, M.-Y. 明., Yang, Q., Shen, Y., Adamów, M., Friedel, D. N., Gruendl, R. A., Stone, Z., Li, J., Liu, X., Martini, P., Abbott, T. M. C., Anderson, S. F., Assef, R. J., Bauer, F. E., Bielby, R., Brandt, W. N., Burke, C. J., Casares, J., Chen, Y.-C., De Rosa, G., …Zucker, C. (2024). High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam: Project Overview and First Data Release. Astrophysical Journal Supplement, 274(2), Article 42. https://doi.org/10.3847/1538-4365/ad7d01

High-quality Extragalactic Legacy-field Monitoring (HELM) is a long-term observing program that photometrically monitors several well-studied extragalactic legacy fields with the Dark Energy Camera (DECam) imager on the CTIO 4 m Blanco telescope. Sin... Read More about High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam: Project Overview and First Data Release.

ALMA Lensing Cluster Survey: Deep 1.2 mm Number Counts and Infrared Luminosity Functions at z ≃ 1–8 (2024)
Journal Article
Fujimoto, S., Kohno, K., Ouchi, M., Oguri, M., Kokorev, V., Brammer, G., Sun, F., González-López, J., Bauer, F. E., Caminha, G. B., Hatsukade, B., Richard, J., Smail, I., Tsujita, A., Ueda, Y., Uematsu, R., Zitrin, A., Coe, D., Kneib, J.-P., Postman, M., …Wang, W.-H. (2024). ALMA Lensing Cluster Survey: Deep 1.2 mm Number Counts and Infrared Luminosity Functions at z ≃ 1–8. Astrophysical Journal Supplement, 275(2), Article 36. https://doi.org/10.3847/1538-4365/ad5ae2

We present a statistical study of 180 dust continuum sources identified in 33 massive cluster fields by the Atacama Large Millimeter/submillimeter Array Lensing Cluster Survey (ALCS) over a total of 133 arcmin2 area, homogeneously observed at 1.2 mm.... Read More about ALMA Lensing Cluster Survey: Deep 1.2 mm Number Counts and Infrared Luminosity Functions at z ≃ 1–8.

Connecting Lyα and Ionizing Photon Escape in the Sunburst Arc (2024)
Journal Article
Owens, M. R., Kim, K. J., Bayliss, M. B., Rivera-Thorsen, T. E., Sharon, K., Rigby, J. R., Navarre, A., Florian, M., Gladders, M. D., Burns, J. G., Khullar, G., Chisholm, J., Mahler, G., Dahle, H., Malhas, C. M., Welch, B., Hutchison, T. A., Gassis, R., Choe, S., & Adhikari, P. (2024). Connecting Lyα and Ionizing Photon Escape in the Sunburst Arc. Astrophysical Journal, 977(2), Article 234. https://doi.org/10.3847/1538-4357/ad9247

We investigate the Lyα and Lyman continuum (LyC) properties of the Sunburst Arc, a z = 2.37 gravitationally lensed galaxy with a multiply imaged, compact region leaking LyC and a triple-peaked Lyα profile indicating direct Lyα escape. Non-LyC-leaking... Read More about Connecting Lyα and Ionizing Photon Escape in the Sunburst Arc.

DESI Emission-line Galaxies: Unveiling the Diversity of [O ii] Profiles and Its Links to Star Formation and Morphology (2024)
Journal Article
Lan, T.-W., Prochaska, J. X., Moustakas, J., Siudek, M., Aguilar, J., Ahlen, S., Bianchi, D., Brooks, D., Claybaugh, T., Cole, S., Dawson, K., de la Macorra, A., Doel, P., Forero-Romero, J. E., Gaztañaga, E., Gontcho A Gontcho, S., Gutierrez, G., Guy, J., Honscheid, K., Kehoe, R., …Zou, H. (2024). DESI Emission-line Galaxies: Unveiling the Diversity of [O ii] Profiles and Its Links to Star Formation and Morphology. Astrophysical Journal, 977(2), Article 225. https://doi.org/10.3847/1538-4357/ad8f33

We study the [O ii] profiles of emission-line galaxies (ELGs) from the Early Data Release of the Dark Energy Spectroscopic Instrument (DESI). To this end, we decompose and classify the shape of [O ii] profiles with the first two eigenspectra derived... Read More about DESI Emission-line Galaxies: Unveiling the Diversity of [O ii] Profiles and Its Links to Star Formation and Morphology.