Christine Albano is a reporter at Investor’s & Investing, where she has covered the municipal market for the past two decades. Her expertise spans trends affecting retail investors, institutions, and various funds, as well as significant industry issues, including historic defaults and the 2008 financial crisis. Christine's work has been featured in The Bond Buyer, Tahoe Daily Tribune, Felician University, and the American Meteorological Society.
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Christine's coverage primarily focuses on finance and economy, with a significant emphasis on government announcements, data citations, and legal policy regulation. To effectively reach out to her for potential collaboration or as a source of information:
1. Offer insights into government policies related to public finance, municipal bonds, treasury rules or rating agencies. This could include analysis of recent developments impacting these areas.
2. Provide perspectives backed by credible data that can contribute to discussions around economic trends or government spending.
3. Consider offering commentary on specific government announcements within the realm of finance and economy such as regulations impacting housing affordability or high-speed train projects.
Given Christine’s broad focus without geographical limitations mentioned, experts from various locations who are well-versed in public finance matters would be suitable candidates for engagement with her articles.
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By: Christine Albano
Rutherford, N.J. – Felician University Junior and Business Administration major, Nico Quiroz has secured a deal with the University to sell Fidget Keys, an innovative product he co-founded to bring a fresh, engaging twist to traditional college merchandise. The university Marketing Department has placed its first order of 250 Fidget Keys, supporting Nico’s student-run business
By: Christine Albano
Rutherford, N.J. – Felician University proudly joins institutions around the world in celebrating Healthcare Simulation Week 2025, which takes place September 15-19. This year’s theme, “United Through Simulation,” highlights the continued importance of advancing healthcare education, teaching, and research for the greater good. In conjunction with this year’s celebration, Felician University’s Barbara J. Toscano Nursing
By: Christine Albano
Rutherford, NJ — Felician University’s Dr. Marcel Kaganovskaya, Assistant Professor of the School of Nursing, recently participated in the New Jersey Collaborating Center for Nursing’s (NJCCN) Nurse State Policy Advocacy Day panel. Organized by Dr. Daria Waszack, former Associate Dean of Graduate Nursing Studies, Dr. Kaganovskaya joined Tyla Minniear, Chief Operating Officer of the New
By: Christine Albano
Colleges and universities worldwide face a new challenge in balancing AI integration with delivering academic foundations at the higher-education level that are both ethical and factual. As AI’s role in our society continues to grow, Felician University recognizes that being hesitant in adopting AI fosters a mindset that can inhibit the evolution of more efficient
By: Anne Heggli, Daniel McEvoy, Christine Albano, John Eylander, Joseph Ammatelli, Kabir Rasouli
Although gridded datasets provide insights into snow–soil interactions, they often fail to capture localized variability, particularly in complex terrain. Field observations are needed to represent spatial heterogeneity in land surface models. This study evaluated soil temperature and moisture dynamics, freeze–thaw transitions, and snowpack characteristics across varying elevations by comparing field observations from the Snake Range in the Great Basin, USA, against three reanalysis and data assimilation gridded products: Western Land Data Assimilation System (WLDAS), CONUS404, USAF 557th Weather Wing (557WW), and a downscaled soil moisture dataset—GeoWATCH. The results of this study showed that WLDAS (1 km resolution) consistently demonstrates the highest accuracy in modeling soil temperature and moisture. GeoWATCH (30 m) performed better for soil moisture in summer and fall, while CONUS404 (4 km) more effectively captured precipitation and air temperature, and 557WW (25 km) captured better the soil frost start date. Based on the observations, shallow snowpacks (<0.20 m) led to a more closely coupled relationship between air and soil temperatures and greater soil freezing depths at cold temperatures due to reduced insulation. With every 400 m increase in elevation, the field capacity period was delayed almost one month, starting in January at low elevations and ending in late May at high elevations. Cold soil temperature biases were more pronounced in dry years. This is because models underestimate snow depth, leading to reduced snow insulation, overestimated frost depths, earlier freezing onset, and prolonged frozen periods compared to field observations. Therefore, models that can more accurately represent shallow snowpacks during dry years and ephemeral snowpacks at low elevations are needed.
