Skip to content

News

Top Stories

Zhezhen Jin wins Best Paper Award for Statistics in Biosciences

Source:

Statistics in Biosciences

Congratulations to Dr. Zhezhen Jin for their paper which won a Best Paper Award for the Statistics in Biosciences Journal.
In the Media: Disentangling Complex Medical Outcomes

Source:

Harvard Catalyst

In 2015, Linda Valeri, PhD, was a young investigator with a doctorate in biostatistics from Harvard University and needed a lab to put her big ideas into motion.

Topic

Biostatistical Methods
A Mathematician Uses AI to Find Meaning in Genomic Data

In a faculty Q&A, Assistant Professor of Biostatistics Wenpin Hou shares her research journey.

Topic

Biostatistical Methods
GPT-4 AI Outperforms Experts at Identification of Cell Types

GPT-4 can accurately interpret types of cells for single-cell RNA sequencing.

Topic

Biostatistical Methods

Latest News

Letter from the Chair

February 12, 2024

Kiros Berhane, PhD, shares an overview of the 2023 issue of Significant Moments, the Department of Biostatistics newsletter.
From Columbia Mailman Student to White House Fellow

November 20, 2023

Kamal Menghrajani, MS ’23, on her experience as a White House Fellow.

Topic

Chronic Disease
Low-Intensity Fires Reduce Wildfire Risk by 60 Percent

November 13, 2023

Study shows low-intensity burning can dramatically reduce the risk of devastating fires for years at a time

Topic

Environmental Health
Biostatistics Symposium Highlights Partnerships and Innovation

October 5, 2023

The inaugural Columbia Biostatistics Annual Research Symposium showcased new developments in the field

Topic

Biostatistical Methods
Black Americans, Low-Income Americans May Benefit Most from Stronger Air Pollution Policies

March 23, 2023

Stronger regulations lowering levels of fine particulate air pollutants would benefit the health of Black Americans and low-income Americans the most.

Topic

Environmental Health
What Is Bayesian Modeling?

February 20, 2023

Answering complex research questions requires the right kind of analytical tools. One of the most powerful of these tools is Bayesian modeling. But what is it exactly, and what are its advantages?

Topic

Biostatistical Methods