Introducing Envizura
Envizura is an environmental intelligence platform that connects material data to pollution, exposure, and health risk insights. Built on a research-driven framework, Envizura’s E3Trace integrates publicly available material transparency databases, contaminant fate modeling, and early exposure signals from wastewater and in situ diagnostics to train a large language model (LLM) optimized for offering better product formulations.
The platform helps organizations understand the broader impact of their material choices—not just in terms of waste and environmental burden, but also potential human health risks. By combining scientific models with AI-driven material alternatives, E3Trace enables smarter, safer, and more sustainable product and infrastructure decisions—independent of regulatory mandates.
Meet the founder, Indrayudh.
Hello there, I am an environmental engineer with an aim to leverage data science and modeling techniques to address critical public health challenges. This method, when complemented with existing and future laboratory techniques, will help us solve many current and future public health crises. Through my education and relevant experience, I have expertise in microbial disinfection, risk assessment, remediation, potable water treatment, wastewater treatment, material toxicology, and wastewater-based epidemiology.
Join me in my journey to understand and improve public health through novel and innovative water solutions
Envizura’s Approach: The three I
Identify: Finalize the rationale
The first step in effective problem-solving is to identify the problem accurately. This involves clearly defining the issue, its scope, and its potential impact. Without a precise understanding of the problem, it's impossible to develop effective solutions.
Innovate: Provide sustainable solutions
Once the problem has been identified, the next step is to innovate and generate potential solutions. This requires creative thinking, brainstorming, and considering a wide range of possibilities. It's important to encourage a diverse range of perspectives to optimize the final solution.
Iterate: Repeat until solution is optimal
The final step in the problem-solving process is to iterate and refine the chosen solutions. This involves testing, evaluating, and making adjustments as needed. It's a continuous process of improvement, where solutions are refined based on feedback, data, and experience.
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Published in journals of international repute
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Resilient and adaptable
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Community advocate
Formaldehyde in the built environment
Formaldehyde, a known carcinogen, is widely used in building materials. Despite its health risks, its production and use continue unabated. This study estimates the amount of formaldehyde in U.S. homes and its associated health and economic costs, highlighting the need for safer alternatives.
Published and on-going projects
Regulating the production of halocarbons in the U.S.
Overuse of halogenated hydrocarbons has significant health and economic costs. A new economic incentive aims to encourage the transition to safer chemicals by placing a premium on carbon-halogen bonds, offering a non-disruptive yet effective way to reduce its use while fostering innovation.
Microbial risk assessment for greywater reuse
This study investigated bacterial transport in saturated and unsaturated conditions using lateral flow experiments and MT3DM modeling. Risk assessment was conducted for various exposure scenarios. Results provide valuable insights into the potential risks associated with bacterial contamination in reused greywater.
Temporal hydrology with land use changes
The study examines how land use changes, particularly urbanization and deforestation, have impacted stream flows in the San Jacinto River Basin. Increased industrial and residential development between 2006 and 2011 led to higher stream flows. Urbanization is identified as a key factor driving this change.
Portable water disinfection cup: Using electrocatalysis
A portable water purification device using UV light and titanium dioxide nanotubes effectively inactivates bacteria in water. The device is affordable and easy to use, making it ideal for remote areas. While natural water samples showed some limitations, the overall performance is promising.
Comparative transport of microbes in saturated aquifers
This study compared the transport of Legionella and E. coli in a simulated aquifer. Legionella was found to move slower than E. coli, likely due to its pleomorphic nature. Both bacteria were able to move through the simulated aquifer, highlighting the potential for contamination in real-world aquifer conditions.
Meta-analysis of microplastic measurement errors
A meta-analysis of MNP studies found significant data quality issues. Many studies relied on visual identification, which has high error rates. Extraction methods often exclude certain polymers, and oxidizing solutions may not effectively remove organic matter. These issues contribute to the uncertainty in current MNP inventories.
River flow prediction in ungauged basins
This study presents a method for predicting river flows in ungauged basins using a semi-distributed hydrological model. By regionalizing probability distribution functions from gauged basins, it accurately models ungauged areas. The approach, tested on two watersheds, shows promising results for regions with limited streamflow data.
Predictive water parameter monitoring in green buildings
People are exposed to water contaminants indoors. Water management plans are crucial but limited by training and building heterogeneity. ML/AI models can predict water quality parameters like free chlorine residual, enabling proactive management and real-time monitoring through online dashboards.
Plasticizers in the built environment and its impacts
Phthalates, commonly used in building materials, can pose health risks. This study analyzed a variety of materials to report the abundance of phthalates in products encompassing the built environment. Results suggest its relative abundance. However, human exposure to phthalates can be measured using WBE.
Optimal wastewater sampling for SARS-CoV-2 detection
Wastewater has emerged as a valuable tool for tracking the spread of SARS-CoV-2 in urban environments. We focused on the Tempe and Guadalupe area, utilizing hydraulic modeling (SWMM) to simulate sewer network behavior and calculate travel times. We were able to estimate viral RNA degradation within the sewersheds.
Contaminant accumulation in direct potable reuse
Direct potable reuse of water requires careful consideration of constituent accumulation. Mass balance analysis can help assess the potential for accumulation under different treatment scenarios. Boron, a model compound, shows that seawater desalination is effective in preventing its accumulation.
View Project
What past colleagues and collaborators are saying
"Indrayudh Mondal is a creative and thoughtful researcher. He has worked with us at HPD Collaborative over the past four years to develop novel methods for understanding the connection of chemical ingredients in building materials with potential human health outcomes. His work will help us advance our mission to reduce and eliminate unhealthful effects of chemicals in the built environment. "
Wendy Vittori, Executive Director, Health Product Declaration Collaborative
"Indrayudh Mondal and I worked for over 3 years together during our doctoral studies. He is one of the kindest and most helpful people I have met. During our course, we would often have to collect wastewater samples together, do collaborative course work, and other activities. He is always helpful and willing to go above and beyond. I highly recommend him."
Nivedita Rengarajan, PhD, Research Scientist, Benioff Ocean Science Lab
UC Santa Barbara, CA.
Get in Touch!
Looking for some out of the box thinking and innovative problem solving in the field of these water sciences?
FAQ
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Being the son of a doctor in a developing country, I have seen the hard life people have to go through because of the lack of access to clean drinking water. With my keen interest in microbiology and chemistry, environmental engineering was my obvious choice.
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PhD or any equivalent doctoral degree is considered the epoch of learning. While I cannot say I know everything about the sciences involving water treatment and wastewater-based epidemiology (WBE), my time in the PhD program has helped me develop a deeper understanding of these concepts.
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The short answer is very. Not just microbiology, but when I started graduate school and pursued a completely different field than my bachelors, I found my knowledge lacking in some key fields like thermodynamics and microbiology. However, given my resilience and quick learning ability, was able to soldier on. If one knows his real goals and the reason why they matter, it's possible to work around problems. After all, life is not always straight forward.
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While I absolutely love research and teaching, academia is not my next step for me. The industry offers many roles that are geared towards innovation. With my experience of conducting novel research, I can add a lot of value to the company I join as I bring a very unique set of skills to the table.