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Tag: Finishing Fellowship

Doctoral Finishing Fellowship – Spring 2024 Recipient – Catherine Rono

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Indoor studio headshot of Catherine Rono

I extend my sincere gratitude to the Graduate Dean Awards Advisory Panel and the Dean for awarding me the Doctoral Finishing Fellowship. This recognition is such an honor as it will afford me the dedicated time and resources necessary to complete my dissertation, prepare for the defense, and transition into the next phase of my scientific journey.

My heartfelt appreciation goes to my research advisor, Dr. Mark Tang, whose support and guidance have been instrumental throughout the four years of my doctoral degree. My appreciation also extends to the Almighty God, my family and friends, my esteemed committee members, the entire Biological Sciences Department, and all individuals who have played a pivotal role in shaping my academic trajectory.

My research journey in Dr. Mark Tang’s lab has been a profoundly enriching experience, allowing me to acquire a diverse skill set while contributing to multiple research projects. My Ph.D. research focuses on addressing cancer heterogeneity and the need for personalized therapies based on each patient’s unique genetic and molecular disease characteristics. Specifically, I am investigating the role of Liver Kinase B1 (LKB1), a vital protein in cellular metabolism and tumor suppression. The journey has been immensely rewarding, from designing and executing experiments to collaborative efforts with peers and mentors in translating scientific findings into tangible advancements for cancer treatment.

I am genuinely excited about the potential outcomes of my research, particularly its application in clinical trials, contributing to the evolution of novel strategies for personalized cancer treatment. As a native of Kenya, a country where diseases like cancer continue to pose a significant threat to the global population, I feel a profound sense of responsibility to contribute to my community’s well-being. My ultimate goal is to make a lasting impact on global health by developing innovative therapies and treatments.

Beyond my research endeavors, I have relished the opportunity to serve as a Teaching Assistant and facilitating WriteD sessions for the Biological Sciences and Biomedical Engineering Department. These experiences have not only contributed to my growth as a scientist but have also allowed me to engage meaningfully with my peers.

I am thankful for the opportunities afforded to me during my graduate program. The comprehensive training I have received has provided a solid foundation for realizing my research aspirations. As I look ahead, I am confident in my ability to contribute meaningfully as a research scientist and eagerly anticipate the future chapters of my scientific journey.

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Summer 2024 Finishing Fellowship Nominations Open

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Applications for Summer 2024 finishing fellowships are being accepted and are due no later than 4pm on March 6, 2024 to the Graduate School. Please email applications to gradschool@mtu.edu.

Instructions on the application and evaluation process are found online. Students are eligible if all of the following criteria are met:

  1. Must be a PhD student.
  2. Must expect to finish during the semester supported as a finishing fellow.
  3. Must have submitted no more than one previous application for a finishing fellowship.
  4. Must be eligible for candidacy (tuition charged at Research Mode rate) at the time of application.
  5. Must not hold a final oral examination (“defense”) prior to the start of the award semester.

Finishing Fellowships provide support to PhD candidates who are close to completing their degrees. These fellowships are available through the generosity of alumni and friends of the University. They are intended to recognize outstanding PhD candidates who are in need of financial support to finish their degrees and are also contributing to the attainment of goals outlined in The Michigan Tech Plan. The Graduate School anticipates funding up to ten fellowships with support ranging from $2000 to full support (stipend + tuition). Students who receive full support through a Finishing Fellowship may not accept any other employment. For example, students cannot be fully supported by a Finishing Fellowship and accept support as a GTA or GRA.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Adelina Oronova

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From the very beginning of my academic journey, the intersection of chemistry and biology has thrilled me, as it embodies the essence of interdisciplinary challenges that encourage innovative thinking. Having BS and MS in biochemistry, I joined the Chemistry Department at Michigan Technological University in August 2018 as a Fulbright Graduate Student from Ukraine. Under the mentorship of Dr. Marina Tanasova, I pursued chemical biology research to utilize small molecules produced through synthetic chemistry for the study of complex biological systems.
My Ph.D. research focuses on the development of tools for the targeted detection of disease-relevant sugar transporters (GLUTs) to advance diagnostic and imaging capabilities. Working in Dr. Tanasova’s lab has been an incredibly rich research experience, allowing me to master a diverse set of skills and carry out the whole research project from the beginning to the end. I truly enjoy the process of designing molecules, synthesizing them, and validating their properties through a range of analytical techniques. Witnessing the colorful array of fluorescent probes we have developed and applying them for cancer research has evoked excitement in me. I am genuinely excited about the potential outcomes of my research, as they contribute to the advancement of novel strategies for targeting cancers in both diagnostic and therapeutic applications. Collaborating with other researchers and students, sharing my research, and promoting a safety culture within my department and on the national level have been rewarding and enriching experiences for me during my Ph.D. I am grateful for the opportunities I have had during my graduate program. I am confident that the training I received at MTU has provided me with a solid foundation to realize my research aspirations.
I am honored to be selected as one of the recipients of the Doctoral Finishing Fellowship. I would like to thank the Graduate Dean Awards Advisory Panel and Dean for granting the fellowship to me during this crucial phase of my Ph.D. journey. It is indeed an invaluable opportunity to dedicate my time and efforts to writing my dissertation, preparing for the defense, and embarking on the next chapter of my scientific career. I would like to thank my research advisor Dr. Marina Tanasova for the support and guidance she provided over the last 5 years. Her belief in my potential paved the way for me to transition from a Master’s student to a doctoral candidate, and I am truly grateful for the mentorship and encouragement she has provided. Moreover, I wish to express my gratitude to the Chemistry Department, Dr. Sarah Green, my committee members, and all the individuals who have played a role in shaping me into an independent research scientist.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Ann Varghese

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I began my Ph.D. journey in Chemistry in the Fall 2019 under the guidance of Dr. Tatyana G. Karabencheva-Christova. Prior to joining MTU, I earned a master’s degree in Applied Chemistry from Mahatma Gandhi University and a bachelor’s degree in Chemistry from Calicut University, India. It was during my master’s program that I developed a profound interest in computational chemistry, which ultimately led me to pursue advanced studies in this fascinating field.

My research primarily focuses on exploring enzyme characteristics and mechanisms through the application of multilevel computational methods, including Molecular Dynamics (MD), Quantum Mechanics (QM), and combined Quantum mechanics/Molecular mechanics (QM/MM). During my Ph.D., I had the opportunity to contribute to NIH-funded projects on the non-heme Fe(II) and 2-oxoglutarate dependent oxygenase, Fat mass and Obesity Associated Protein (FTO), and the Zn(II) dependent metalloprotease, Matrix metalloproteinase-1 (MMP-1), both of which have crucial implications in various types of cancers. In the former project, I investigated the enzymatic mechanism of FTO with its major substrate, N6-methyladenine in single-stranded RNA, and explored the influence of clinically relevant mutations Arg316Gln and Ser319Phe on different stages of the catalytic cycle. In the latter, I unraveled the water-mediated catalytic mechanism of MMP-1, conformational dynamics and long-range correlated motions assisting in catalysis and the role of the catalytic and structural Zn(II) ions in the overall stability of enzyme.

I am immensely grateful to the Graduate Dean Awards Advisory Panel and the Dean for recognizing my efforts and awarding me the Doctoral Finishing Fellowship. I extend my heartfelt gratitude to my advisor, Dr. Tatyana G. Karabencheva-Christova, whose guidance and support have been invaluable throughout my Ph.D. journey. I also extend my thanks to all the faculty and staff in the Chemistry department for their encouragement and assistance.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Benjamin Barrios Cerda

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First, I would like to extend my gratitude to the Graduate Dean Awards Advisory Panel for recommending me for this prestigious award. I also want to acknowledge the department of Civil, Environmental, and Geospatial Engineering for its support during my PhD studies. Most importantly, I thank my advisor Dr. Daisuke Minakata, who has guided me throughout my journey and equipped me with critical thinking skills. Without his unwavering commitment, understanding, and guidance, I would not have achieved the level of proficiency as a PhD student that I possess today.

I have been passionate about chemistry ever since I was in high school. Chemistry teaches you how matter transforms, and because matter is everything we are surrounded by, chemistry essentially helps you to understand the world. Many of the big problems our world faces can be tackled in some way from a chemical perspective. Energy, pollution, water scarcity, health, are some of the global issues that are actively being addressed with chemistry.

During my PhD, I have translated my chemistry background to the environmental engineering field by understanding how pollutants are transformed in natural and engineered water systems, such as lakes, rivers, or water treatment plants. My philosophy is that the molecular details of those chemical reactions have a profound influence on the rate of degradation and products distribution. This led me to publish papers where I show that we can use results from molecular simulations to explain phenomena at the bulk scale such as how fast reactions take place. Understanding these details will enable engineers to optimize operational parameters on the removal of contaminants, and will inform environmental policy makers about the fate of toxic compounds once released to bodies of water.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Hrishikesh Gosavi

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Since I began learning the basics of science, the effects of vibrations on environments has always fascinated me. As Nikola Tesla said, “If you want to find the secrets of the universe, think in terms of energy, frequency and vibration.” It was with this aim that I started my Ph.D journey in Fall 2020.

My research has been in regards with “Metastructures”. These are unique structures which absorb vibrations in a system in particular frequency range, often called as ”bandgap”. It is because of this bandgap phenomenon that metastructures are widely used to mitigate vibration effects. Owing to large number of applications, it becomes important to estimate bandgaps in a metastructure to predict the frequency range in which the vibrations will be absorbed so that metastructures can be designed for various applications.

Through my research, I have aimed to developed new methods to estimate these bandgaps. The current methods available in the literature require a physics-based model of the metastructure (analytical model, finite/spectral element model) in order to estimate bandgaps. However, for various anisotropic materials, the material properties are difficult to quantify accurately which makes the physics-based model inaccurate. My research aims to overcome these limitations by developing methods which estimate bandgaps using purely experimental data. We have used the experimental data to study how a vibration wave is propagating through the metastructure (dispersion curve) and estimated bandgaps. Various other techniques such as substructuring, data-driven modeling algorithms were utilized. The developed techniques considerably reduced the design efforts required and made the entire design process much easier.

The funding provided by this fellowship will truly be helpful for me in putting all my energies in finishing my thesis in time and complete my Ph.D.!
I am grateful to the Graduate School for granting me this fellowship.
My advisor, Dr. Sriram Malladi has been more than helpful in guiding me through various ups and downs throughout my Ph.D journey. I am truly thankful for the relentless support he and his family has given me. Last but certainly not the least, I am thankful to my family i.e. my wife and my parents for their support in every aspect of my journey!

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Susan Mathai

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I started as a PhD student in Atmospheric Sciences at Michigan Tech in August 2018. My interest in Atmospheric Sciences began during an elective course I took while pursuing my master’s degree in physics at the National Institute of Technology (NIT Calicut). Since then, my interest in Atmospheric Sciences has grown, and I have been eager to learn more about it.
My doctoral research focuses on investigating the physical, chemical, and optical properties of aerosols, which are particles suspended in the atmosphere, specifically those emitted from biomass burning. Over the course of five years, with the support of my advisor and colleagues at Michigan Tech, I have gained valuable knowledge and experience that will undoubtedly benefit me in my future endeavors. Additionally, I had the opportunity to expand my exposure and understanding of the subject through an internship at Pacific Northwest National Laboratory (PNNL), where I worked with Dr. Swarup China. During my internship, I estimated the optical properties of tar ball particles that are formed during biomass combustion. I also studied the physical and chemical properties of aerosols from an Urban polluted region that is highly influenced by biomass burning.
I am grateful to the Graduate Dean Awards Advisory panel for granting me the finishing fellowship award and to my advisor, Prof. Claudio Mazzoleni, for his unwavering support and guidance throughout my PhD journey. I also thank my mentor at PNNL, Dr. Swarup China for his hard work and dedication in helping me complete my PhD. Additionally, I express my thanks to both my current and former research group members for engaging in excellent discussions and fostering a spirit of teamwork. I eagerly anticipate defending my thesis and advancing along my chosen career path.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Mehnaz Tabassum

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Ever since my early days as an undergraduate student, I have been captivated by the potential of technology to revolutionize our daily lives. Michigan Technological University has provided an enriching environment for my research endeavors. The collaborative spirit among faculty members and the vibrant research community have fostered an environment for innovative ideas and cross-disciplinary collaborations. Engaging in stimulating discussions with brilliant minds and participating in cutting-edge projects have amplified my intellectual growth and fortified my passion for pushing the boundaries of knowledge in vehicular networking.

I am thrilled to share my remarkable journey as a doctoral candidate at Michigan Technological University. I started my PhD in Fall 2018 in the Electrical and Computer Engineering department. Throughout my doctoral journey, I have dedicated myself to unraveling the complexities of vehicular networking, exploring its intricacies one discovery at a time. By delving into areas such as intelligent transportation systems, vehicle-to-vehicle (V2V) communication, and infrastructure-to-vehicle (I2V) interactions, I aim to contribute to the seamless integration of vehicles into our evolving smart cities.

I am immensely grateful for the support of my advisor, Dr. Aurenice Oliveira, whose guidance, expertise, and unwavering encouragement have been instrumental in shaping my research trajectory.

To all aspiring researchers and technologists, I urge you to embrace your passions and fearlessly pursue your dreams.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Komal Chillar

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I joined the Ph.D.in Chemistry program at Michigan Tech in Fall 2018. Prior to this, I obtained a Bachelor’s degree in Chemistry from Miranda House, University of Delhi, New Delhi, India in 2016 and Master’s in Organic Chemistry from Maharshi Dayanand University, Rohtak, India in 2018. During the course of my Ph.D., I honed multiple skills needed for the organic laboratory work, and developed various interpersonal skills including communication, presentation, critical thinking, problem-solving, collaboration, leadership qualities and many more. These skills have not only contributed to my research success but have also shaped me into a confident and capable professional.

As an organic chemist, to accomplish the research objectives, I successfully synthesized various small and macromolecules that served as a monomer for oligodeoxynucleotides. This process involved the utilization of various instrumental analysis techniques. During my research, I focused on the synthesis of sensitive oligodeoxynucleotides under mild deprotection and cleavage conditions. Sensitive oligodeoxynucleotides are the DNA nucleosides that are unstable to harsh deprotection and cleavage conditions. The results of my work have been published in the New Journal of Chemistry in 2023. Furthermore, I developed a method for the direct quantification of the oligodeoxynucleotides using the HPLC peak area. This method not only eliminated the need for additional steps in quantification and purification but also saved valuable time for the researchers. The details of this method were published in PeerJ Analytical Chemistry in 2022. Additionally, I was able to achieve the 49 bases long oligodeoxynucleotides which could retain the sensitive groups under mild deprotection and cleavage conditions. These sensitive groups are believed to be the modifications present in the human genome resulting in disease-cause. The manuscript on this accomplishment is under review in a prestigious Peer-Reviewed Journal.

I would also like to express my sincere gratitude towards the Graduate Dean Awards Advisory Panel and the Dean for providing me the Doctoral Finishing Fellowship for Fall 2023. This fellowship will help me to focus on my research goals while accomplishing all the degree completion timelines, including writing and defending my dissertation to graduate timely. Finally, I would like to sincerely thank my advisor Dr. Shiyue Fang whose unwavering support, guidance, and mentorship have been invaluable throughout my Ph.D. journey to help me to expand my knowledge and professional growth in the field.

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Doctoral Finishing Fellowship – Fall 2023 Recipient – Ponkrshnan Thiagarajan

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Growing up in a township full of scientists and engineers, I have always been curious about how things work. This led me to pursue a bachelor’s in engineering from Nehru Institute of Engineering and Technology affiliated with Anna University, Chennai. I then pursued a master’s from the esteemed Indian Institute of Technology, Madras where I delved into diverse research projects that captivated my interest. Fueled by this newfound interest, I started my journey as a Ph.D. student eager to tackle intriguing and fundamental challenges within the field of engineering.

I started working on my Ph.D. in the Fall of 2019 at the Computational Mechanics and Machine Learning Lab led by Dr. Susanta Ghosh at Michigan Tech. The focus of my research is on understanding the uncertainties associated with the predictions of computational and machine-learning models. Any model, computational or data-driven, is a representation of a physical phenomenon. We develop such models to understand the world around us better. However, predictions of such models are not always reliable due to the uncertainties associated with them. These uncertainties could arise for various reasons such as natural variability in the systems we study, assumptions in developing these models, numerical approximations, lack of data, etc. In order to use these models in real-life scenarios, quantifying these uncertainties is crucial. My research involves developing novel techniques to quantify the uncertainties, use these uncertainties to improve the model’s performance, and explain the reasoning behind the uncertainties. In my first project, we developed a Bayesian neural network-based machine-learning model that can reliably classify breast histopathology images into benign and malignant images. In addition, the model can quantify uncertainties associated with the predictions. We further developed techniques to explain the uncertainties and use them to further improve the model’s performance. In my second project, we developed novel loss functions for Bayesian neural networks and showed their advantages over the state-of-the-art in image classification problems. I am currently working on quantifying uncertainties in computational models that are used to characterize material behavior and extending the first two projects for several other applications.

I would like to thank my advisor Dr. Susanta Ghosh for giving me the opportunity to carry out this exciting research as well as for his immense help and guidance throughout the process. I thank the Graduate Dean Awards Advisory Panel and the dean for recommending me for this award. It is an honor. I thank the graduate school and the Department of Mechanical Engineering-Engineering Mechanics for their constant support.

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