Bioinspired Nanoparticles for Next-Generation Sensors

Chirality, or non-superimposable mirror image structures are common across the natural world (think left and right hands). Even at the nanoscale, proteins are chiral molecules where their specific structure (left or right hand) drives function.  In my group, we leverage sequence-definition and enantiomeric-control of synthetic peptides to tune the chirality and shape of nanoparticles. I will discuss how such nanoparticles can enable discovery of next-generation sensors.

Speaker: Nairiti Sinha | Materials Science & Engineering

 

Powering Social Work Through AI

The integration of Artificial Intelligence (AI) into social work practices presents an innovative pathway to address complex social issues with greater precision, efficiency, and personalized care. This talk delves into the transformative potential of AI in redefining the landscape of social work, offering insights into how cutting-edge technologies can augment traditional methodologies to better serve individuals and communities in need.

Speaker: Amulya Yadav | College of Information Science & Technology

Waste to Resource: Sustainable Plastic Management for a Circular Global Economy

About 60% of all plastics ever produced are currently in waste sites, resulting in a yearly loss of $80-120 billion USD. Additionally, plastic production, which makes up 6% of global oil use, is expected to increase to 20% by 2050. Unique conditions in landfills and the natural environment expose plastic waste to factors like high salinity, varied temperatures, and microbial breakdown which can lead to the formation of tiny plastic particles.  Our lab leverages expertise in catalysis and reaction engineering along with advanced techniques such as two-dimensional gas chromatography and artificial intelligence to study the fundamental chemistry behind mixed plastic recycling technologies.

Speaker: Hilal Ezgi Toraman | Energy & Mineral Engineering | Chemical Engineering

Predicting Blackouts in College Student Drinkers using Alcohol Biosensors

Blackouts are common in college students and are associated with increased alcohol-related harms. Self-report is the most common way to assess college student drinking but becomes less reliable at higher quantities of alcohol consumption. Self-report also does not tell us how students are drinking, which may be important in the prediction of harm. In this talk, I will discuss the use of alcohol biosensors to measure the manner in which students drink to predict the occurrence of alcohol-induced blackouts.  I am interested in exploring other novel approaches, including the development of new sensors to address alcohol-related harm reduction.

Speaker: Veronica Richards | Edna Bennett Pierce Prevention Research Center

Materials Biology: A Concept to Advance the Science of Life

We will discuss a vision for applying the tools and insights of materials science to studying life from molecules to ecosystems, opening new ways of sensing and measuring the structures and processes that underpin and drive living systems. The discussion will center on the big unanswered questions in the biological sciences, and how materials science and the emerging fields of biorenewables and living materials might be applied to addressing these questions. 

Panelist:
JP Gevaudan | Architectural Engineering
Aida Ebrahimi | Electrical Engineering
Cunjiang Yu | Engineering Science & Mechanics | Biomedical Engineering
Vicky Nguyen | Mechanical Engineering, Johns Hopkins

Moderators: 
Charlie Anderson | Biology
Zoubeida Ounaies | Mechanical Engineering

An Introduction to Representation Learning: Why it’s Hard to Use AI to do Science

With so much buzz around AI in the press, we should see big payoffs in science. Yet it doesn’t seem like major advancements with chatbots and image generators in recent years have also extended to scientific breakthroughs. In this talk, I will discuss the concept of representation learning: the way that AI algorithms understand data, and a major bottleneck in repurposing existing AI algorithms to solve new problems. I will specifically highlight challenges and opportunities in materials science applications including molecular simulation, characterization, and small molecule design.