Transformative mathematics and statistics for a brighter future
Hopkins engineers in the Department of Applied Mathematics and Statistics create interdisciplinary solutions inspired by problems arising in engineering, and the physical, biological, information, and social sciences.Apply Today
Johns Hopkins applied mathematicians have developed an innovative method to disentangle complex networks, like those found in social media and the internet, with potential applications in making computer calculations more efficient. Published in The Journal of Computational and Graphical Statistics, their research also highlights the importance of balancing numerical and statistical errors in data analysis for reliable decision-making.
Mateo Díaz, new assistant professor in the Department of Mathematics and Statistics at Johns Hopkins, discusses his background, research interests, and enthusiasm for joining the university. Originally from Colombia, Díaz's research focuses on the intersection of continuous optimization, geometry, and statistics, with applications in data science and machine learning. In this Q&A, he shares insights into his research, real-world applications, and what drew him to this field.
Caelyn Sobie, a PhD student in applied mathematics and statistics, joins the second cohort of Vivien Thomas Scholars. This month, she and 14 other scholars will begin their PhD studies at the university as part of a $150 million initiative to advance pathways for students from HBCUs and MSIs in science, technology, engineering, and math.