top of page

The Science Talent Search is the nation’s oldest and most prestigious research competition for high school students and is recognized as the highest level of science competition worldwide.

 

Out of 2,471 applicants, only 40 were selected as finalists, making it an extremely competitive and rigorous process. The 2025 applicant pool was the largest in the competition’s history since the 1960s, and I was the first student from my high school in nearly five years to earn this distinction.

 

As a finalist, I participated in a week-long Finals Week, representing Ohio on the national stage. During this time, I had the opportunity to meet fellow finalists and judges, who are top experts in their fields. 

Science Talent Search (2025)

  • 20250308_Acharya_Laasya_CasualPortraits_0100_CA.jpg
  • 20250311_MedalingCeremony_0349_CA_Original.JPG
  • IMG_4903.heic
  • IMG_1363.jpg

International Science & Engineering Fair (2022, 2024)

After qualifying through multiple rounds of rigorous judging for my science fair project, Ceres - a crop disease detection system using AI and machine learning - I was given the incredible opportunity to represent her school, the state of Ohio, and the United States at the International Science and Engineering Fair (ISEF) 2022.

 

I was selected again in 2024 to represent Ohio at ISEF with my project, an Unmanned Aerial Vehicle working in tandem with a multimodal neural network system for the widespread early detection of crop diseases. In addition to presenting my work to several esteemed judges, I had the chance to meet many amazing scientists and peers from around the world. The experience was truly unforgettable!

  • IMG_9050.HEIC
  • IMG_9497.HEIC
  • IMG_9496.JPG

Student Research Intern at Cornell AgriTech Gold Lab (2025)

I conduct research on Grapevine Leafroll-Associated Virus (GLRaV), a significant disease affecting grapevine cultivation in California, under the mentorship of Dr. Katie Gold and Dr. Shivranjani Baruah. My work focuses on integrating disease scouting data, vineyard management records, and satellite remote sensing imagery to build scalable, data-driven models for detecting and understanding disease spread across vineyard landscapes.

A major component of this research involves combining multiple real-world datasets (including field observations, management practices, and high-resolution satellite imagery) to create a more complete picture of how GLRaV symptoms emerge and progress over time. Using geospatial analysis and remote sensing techniques, I process and analyze this data to identify spatial patterns of infection and map disease presence across California vineyards. This work sits at the intersection of agriculture, data science, and remote sensing, with the goal of improving how vineyard health is monitored and understood at scale.

Healthcare for All Ohioans Social Media Manager (2024 - )

Healthcare for All Ohioans is a nonprofit organization dedicated to advancing affordable and accessible healthcare through policy advocacy, public education, and community engagement. The organization works primarily within Ohio, promoting healthcare reform through initiatives such as legislative outreach, workshops, awareness campaigns, and grassroots advocacy efforts.

As a Social Media Manager, I help communicate the organization's mission and policy priorities across platforms including Facebook, Instagram, X, and TikTok. In this role, I create content to help educate the public on healthcare policy and current healthcare issues affecting Ohio residents. I maintain a consistent posting schedule, develop tools to track engagement and measure outreach effectiveness, and create monthly analytics reports to help guide strategies. One of the most rewarding aspects of this role has been translating complex healthcare policy topics into accessible content that can be understood by a broader audience. Through this work, I have gained valuable experience in advocacy, public outreach, and science communication while helping raise awareness about issues related to healthcare access and affordability.

UC Berkeley Society of Women Engineers (2025 - )

The Society of Women Engineers (SWE) has been one of my primary communities at UC Berkeley, allowing me to support fellow engineering students while developing my own leadership skills. I currently serve as Shadow an Engineer Officer, where I lead SWE's annual externship program that connects students with engineering professionals for winter-break shadowing experiences. In this role, I coordinate with industry partners, support applicants throughout the process, and oversee a committee that helps organize program operations and events.

Previously, I served as Public Relations Officer, where I created SWE's weekly newsletter, promoted internships and professional development opportunities, and designed merchandise for the organization. I also served on SWE's Advocacy and Equity & Inclusion Committee, where I worked with other members to support initiatives focused on diversity, representation, and community-building within engineering.

Student Research Intern at AgSensing Lab (2024 - 2025)

The AgSensing Lab at The Ohio State University focuses on developing more efficient and sustainable agricultural systems through the use of remote sensing, machine learning, and precision agriculture technologies. As a Student Research Intern under Dr. Sami Khanal, I contributed to agricultural data science research focused on predicting crop nutrient content using spectral imaging data.

My work involved processing and cleaning more than 80,000 spectral data points and integrating spectral reflectance measurements with nutrient concentration data to create high-quality datasets for machine learning applications. I developed multi-output regression models to predict key crop nutrients, including nitrogen, phosphorus, and potassium, and analyzed relationships between spectral signatures and agricultural variables. Throughout the project, I collaborated with members of the research team to improve data preprocessing workflows, optimize model performance, and explore how machine learning can support more informed agricultural decision-making.

Junior Science & Humanities Symposium (2022, 2023, 2024, 2025)

After presenting my research at the Ohio Junior Science & Humanities Symposium (OJSHS), I placed fourth in the state and advanced to the national Junior Science & Humanities Symposium (JSHS). This opportunity allowed me to represent Ohio while sharing my research with students, scientists, and engineers from across the country.

At the national symposium, I presented my work in the Mathematics and Computer Science category and had the opportunity to learn about a wide range of STEM research and careers, including the role of science and technology within the armed forces. In addition to presenting my project to judges and fellow researchers, I connected with other students who were passionate about using STEM to solve real-world problems. I ultimately placed fourth in the Mathematics and Computer Science category.

bottom of page