Adam Maloof joined the faculty as an assistant professor of geology in July 2006 and was promoted to associate professor with tenure in January 2012 and full tenure in 2019. MALOOF CV

After getting my Bachelor’s degree in Civil and Environmental Engineering at Princeton in 2016, I am back — this time in the Department of Geosciences. I received my Ph.D. from the Department of Earth, Atmospheric and Planetary Science at MIT (summer 2022) after writing a thesis exploring the “dolomite problem” from multiple angles and with a focus on Neoproterozoic dolomites. My postdoctoral research is still centered on these ancient carbonates; in the Maloof group I will work on quantifying the stratigraphy of the first Neoproterozoic carbon isotope excursion, the Bitter Springs.

Reading Earth's Surface History from Image Archives [79] [80] [82] [83] (Website)

Is it Cake? A Recipe for Data-Efficient Fossil Identification

I completed my undergraduate degree in 2023. I am currently a graduate student working towards a Computer Science master's degree. I am interested in developing methods to maximize the amount of information that computer vision models learn from small datasets, such as those in the geosciences. My research involves improving the segmentation of rock sample images in order to facilitate the 3D reconstruction of embedded fossils. [83]

I'm from Streator, Illinois, and study computer science, where my usual interests are in the application of traditional machine learning and statistical methods to problems. My first independent work used convolutional neural networks to classify sleep stages from electroencephalograms. My interest in baseball led me to my current project where I  investigate how to create improved Division I “park factors” based on environmental data and stadium dimensions.

I am from Houston, TX and majoring in Operations Research and Financial Engineering. I am also a varsity athlete on the Princeton baseball team. Most of my studies include topics in statistics, probability, optimization, and machine learning, often applied to baseball analytics. My junior project asked the question whether seeing more pitches improves batter performance. For my senior thesis, I am developing techniques find true player skill and finding ways to accurately forecast how that skill will progress. I also have experience in the renewable energy industry.

I am from Newton, Massachusetts and studying chemistry. I'm interested in applying principles of chemistry to the study of natural systems. My project focuses on understanding carbonate precipitation in Australia, with a primary emphasis on dolomite formation.

I am from Anchorage, Alaska, and plan to concentrate in Operations Research and Financial Engineering with minors in Slavic Languages & Cultures and Statistics & Machine Learning. My work with the Princeton Baseball Analytics Group includes using Trackman game data to replicate different pitches on a pitching machine. I am also the student manager for the baseball team.