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Aditya Vaidyam is a second-year medical student at the Carle Illinois College of Medicine and formerly Assistant Director of Clinical Systems at the Division of Digital Psychiatry at the Beth Israel Deaconess Medical Center. His research focus ranges from engineering and architecting healthcare systems that improve access and quality of care to investigating the underlying symptomatology of mental illness. As a principal architect of the LAMP Platform, Vaidyam focuses on elucidating the key design goals of a healthcare platform that supports personalized just-in-time adaptive interventions and digital phenotyping in populations with serious mental illnesses such as schizophrenia. In clinical research, Vaidyam focuses on the use of machine learning algorithms for longitudinal data analysis and personalized interventions for mindfulness and patient education. Vaidyam also investigates the digital therapeutic alliance as manifested in non-conventional digital formats, such as voice assistants, as well as the needs, requirements, and barriers to adoption in patients with serious mental illness. Vaidyam assisted in developing a program for digital skills training to help patients with limited technical experience access and rely on digital tools and apps assisting them in managing their physical or mental health. Vaidyam holds a BS in neurobiology & physiology and computer science from Purdue University, as well as an MS in medical science from Boston University.

Presentations

  1. Vaidyam A. The Evolving Landscape of Generative AI in Clinical Care: Exploring the Structure and Function of Generative Pre-trained Transformers; IEEE Engineering in Medicine and Biology Society — Central Indiana Section, March 2024
  2. Vaidyam A & Blake S, Corbins K, Silberstein M, Limaye S*. The Evolving Landscape of Generative AI in Mental Health: Exploring the Promise and Pitfalls of Large Language Models towards Improving Access to Care; Carle Illinois College of Medicine RISE Seminar, Jan. 2024
  3. Vaidyam A. Mental Health Apps; Carle Illinois College of Medicine THRIVE Seminar, March 2023
  4. Vaidyam A. Asynchronous Telemedicine: Harnessing Digital Phenotyping of Patient-Generated Health Data In Clinical Care; Carle Illinois College of Medicine RISE Seminar, Jan. 2023
  5. Vaidyam A & Chan H. Engineering in Clinical Medicine: A Guided Case Presentation; IEEE Engineering in Medicine and Biology Society — Central Indiana Section, Dec. 2022
  6. Vaidyam A. LAMP Platform: Harnessing Digital Phenotyping of Patient-Generated Health Data In Clinical Care During The COVID-19 Pandemic; IEEE Healthcare Summit, Oct. 2021
  7. Vaidyam A. Digital phenotyping from research to clinical implementation: Science and ethics of digital phenotyping in adolescent mental health; World Congress of Psychiatry, Apr. 2021
  8. Torous J & Vaidyam A. Case Series in the Use of the mindLAMP app for Mindfulness; 2nd Annual Advances in Mindfulness and Acceptance-Based Clinical Tools for Treating Adolescents and Young Adults, Beth Israel Deaconess Medical Center, Apr. 2021
  9. Torous J, Vaidyam A, Hoffman L. Digital Psychiatry: Hands on Lessons and Applications for Clinical Care; Massachusetts Mental Health Center Grand Rounds, Sept. 2019

Publications

  1. Nanik Ram, Aditya Vaidyam, Amrik Eadara, Carsten Langholm, John Torous. Psychiatric Apps: Patient Self-Assessment, Communication, and Potential Treatment Interventions. Untitled book chapter. In press.
  2. John Torous, James Burns, Kelly Chen, Matthew Flathers, Danielle Currey, Natalia Macrynikola, Aditya Vaidyam, Carsten Langholm, Ian Barnett, Andrew Byun, Erlend Lane. Transforming Digital Phenotyping Raw Data into Actionable Biomarkers, Quality Metrics, and Data Visualizations: An Introduction to the Cortex Software Package. J Med Internet Res. http://dx.doi.org/10.2196/58502 In Review.
  3. Modan Goldman, Aditya Vaidyam , Sindhu Parupalli, Devendra Ramkumar, Holly Rosencranz, Japhia Ramkumar (2023). Microbiomes Matter: The Path to Regenerative Systems of Farm, Food and Health in the Age of Climate Change. MDPI Challenges. In Review.
  4. Asher Cohen, Devayani Joshi, Ameya Bondre, Prabhat Chand, Soumya Choudhary, Siddharth Dutt, Carsten Langholm, Mohit Kumar, Snehil Gupta, Srilakshmi Nagendra, Preethi Reddy, Abhijit Rozatkar, Yogendra Sen, Ritu Shrivastava, Rahul Singth, Jagadisha Thirthalli, Deepak Tugnawat, Anant Bhan, John Naslund, Aditya Vaidyam , Vikram Patel, Matcheri Keshavan, Urvakhsh Mehta, John Torous (2023). Digital Phenotyping Correlates of Mobile Cognitive Measures in Schizophrenia: A Multisite Global Mental Health Feasibility Trial. Schizophrenia Bulletin Open. In Review.
  5. Johanna T.W. Wigman, Arn Ee Ching, Yoonho Chung, Habiballah Rahimi Eichi, Erlend Lane, Aditya Vaidyam , Andrew Jin-Soo Byun, Anastasia Haidar, Jessica Hartmann, Angela Nunez, Dominic Dwyer, Adibah Amani Nasarudin, Owen Borders, Isabelle Scott, Zailyn Tamayo, Priya Matneja, Kang-Ik Cho, Phillip Wolff, Jonathan Pevsner, Simon D'Alfonso, Scott Woods, Martha Shenton, Barnaby Nelson, Justin T. Baker, John Torous (2023). Digital Health Technologies in the AMP Schizophrenia Project. Acta Scandinavia Psychiatry. In Review.
  6. Asher Cohen, John Naslund, Erlend Lane, Anant Bhan, Abhijit Rozatkar, Urvakhsh Mehta, Aditya Vaidyam , Andrew Jin-Soo Byun, lan Barnett, John Torous (2023). Digital Phenotyping Data and Anomaly Detection Methods to Assess Changes in Mood and Anxiety Symptoms across a Transdiagnostic Clinical Sample. Acta Scandinavia Psychiatry. In Review.
  7. Chan S, Torous J, Hinton L, Yellowlees P, Vaidyam A (2023). Psychiatric Apps: Patient Self-Assessment, Communication, and Potential Treatment Interventions. In: Mucic, D., Hilty, D. (eds) e-Mental Health 2nd ed. Springer, Cham. In Review.
  8. Naik, A., Peterman, N., Catapano, J., Vaidyam, A., Berke, C., Nguyen, X.-M., Grande, A., Ducruet, A., Jadhay, A., Albuquerque, F., Lawton, M., & Arnold, P. (n.d.). Geospatial disparities in stroke: A multi-database, cross-sectional, national analysis of medicare beneficiaries. JAMA Neurology. In Review.
  9. Vaidyam A, Halamka J, Torous J. Enabling Research and Clinical Use of Patient-Generated Health Data (the mindLAMP Platform): Digital Phenotyping Study. JMIR Mhealth Uhealth. 2022 Jan 7;10(1):e30557. doi: 10.2196/30557. PMID: 34994710; PMCID: PMC8783287.
  10. Kalinich M, Ebrahim S, Hays R, Melcher J, Vaidyam A, Torous J. Applying machine learning to smartphone based cognitive and sleep assessments in schizophrenia. Schizophr Res Cogn. 2021 Oct 1;27:100216. doi: 10.1016/j.scog.2021.100216. PMID: 34934638; PMCID: PMC8655108.
  11. Melcher J, Lavoie J, Hays R, D'Mello R, Rauseo-Ricupero N, Camacho E, Rodriguez-Villa E, Wisniewski H, Lagan S, Vaidyam A, Torous J. Digital phenotyping of student mental health during COVID-19: an observational study of 100 college students. J Am Coll Health. 2021 Mar 26:1-13. doi: 10.1080/07448481.2021.1905650. Epub ahead of print. PMID: 33769927.
  12. Lagan S, D'Mello R, Vaidyam A, Bilden R, Torous J. Assessing mental health apps marketplaces with objective metrics from 29,190 data points from 278 apps. Acta Psychiatr Scand. 2021 Aug;144(2):201-210. doi: 10.1111/acps.13306. Epub 2021 Apr 29. PMID: 33835483.
  13. Elena Rodriguez-Villa, Aditya Vaidyam , John Torous. Integrating Technology into Treatment: Insights on Opportunities Towards Digital Mental Health Care. General Psychiatry, In Press, 2020.
  14. Henson P, D'Mello R, Vaidyam A, Keshavan M, Torous J. Anomaly detection to predict relapse risk in schizophrenia. Transl Psychiatry. 2021 Jan 11;11(1):28. doi: 10.1038/s41398-020-01123-7. PMID: 33431818; PMCID: PMC7798381.
  15. Aditya Vaidyam , Danny Linggonegoro, John Torous. Changes to the Psychiatric Chatbot Landscape: A Systematic Review of Conversational Agents in Serious Mental Illness. Canadian Journal of Psychiatry, Accepted with minor revisions, 2020.
  16. Aditya Vaidyam , Spencer Roux, John Torous. Patient Innovation in Investigating Effects of Environmental Pollution in Schizophrenia: Case Report of Digital Phenotyping Beyond Apps. JMIR Mental Health, 2020. https://doi.org/10.2196/19778
  17. John Torous, Aditya Vaidyam . Multiple uses of app instead of using multiple apps – a case for rethinking the digital health technology toolbox. Epidemiology and Psychiatric Sciences, 2020. https://doi.org/10.1017/S2045796020000013
  18. Torous J, Wisniewski H, Camacho E, Henson P, Rodriguez-Villa E, Hays R, Lagan S, Vaidyam A, Keshavan M. T98. Characterizing the Clinical Course In Schizophrenia With Digital Phenotyping. Schizophr Bull. 2020 May;46(Suppl 1):S268–9. doi: 10.1093/schbul/sbaa029.658. Epub 2020 May 18. PMCID: PMC7234509.
  19. Liza Hoffman, Hannah Wisniewski, Ryan Hays, Phil Henson, Aditya Vaidyam , Victoria Hendel, Matcheri Keshavan, John Torous. Digital Opportunities for Outcomes in Recovery Services (DOORS): A Pragmatic Hands-On Group Approach Toward Increasing Digital Health and Smartphone Competencies, Autonomy, Relatedness, and Alliance for Those With Serious Mental Illness. Journal of Psychiatric Practice, 2020. https://doi.org/10.1097/PRA.0000000000000450
  20. Hayley Chan, Ketaki Bhide, Aditya Vaidyam , Victoria Hedrick, Tiago Sobreira, Thomas Sors, Ryan Grant, Uma Aryal. Proteomic Analysis of 3T3-L1 Adipocytes Treated with Insulin and TNF-α. MDPI Proteomes, 2019. https://doi.org/10.3390/proteomes7040035
  21. Ryan Hays, Philip Henson, Hannah Wisniewski, Victoria Hendel, Aditya Vaidyam , John Torous. Assessing Cognition Outside of the Clinic: Smartphones and Sensors for Cognitive Assessment Across Diverse Psychiatric Disorders. Psychiatric Clinics of North America, 2019. https://doi.org/10.1016/j.psc.2019.08.003
  22. Aditya Vaidyam . Assessment of adoption, usability, and trustability of conversational agents in the diagnosis, treatment, and therapy of individuals with mental illness. Boston University Dissertations, 2019. https://hdl.handle.net/2144/36733
  23. Aditya Vaidyam , John Halamka, John Torous. Actionable digital phenotyping: a framework for the delivery of just-in-time and longitudinal interventions in clinical healthcare. mHealth, 2019. https://dx.doi.org/10.21037/mhealth.2019.07.04
  24. Aditya Vaidyam , Hannah Wisniewski, John Halamka, Matcheri Keshavan, John Torous. Chatbots and conversational agents in mental health: a review of the psychiatric landscape. Canadian Journal of Psychiatry, 2019. https://doi.org/10.1177/0706743719828977
  25. John Torous, Hannah Wisniewski, Bruce Bird, Elizabeth Carpenter, Gary David, Eduardo Elejalde, Dan Fulford, Synthia Guimond, Ryan Hays, Philip Henson, Liza Hoffman, Chun Lim, Michael Menon, Valerie Noel, John Pearson, Randy Peterson, Ammu Susheela, Haley Troy, Aditya Vaidyam , Emma Weizenbaum, John A Naslund, Matcheri Keshavan. Creating a digital health smartphone app and digital phenotyping platform for mental health and diverse healthcare needs: an interdisciplinary and collaborative approach. Journal of Technology in Behavioral Science, 2019. https://doi.org/10.1007/s41347-019-00095-w
  26. Hannah Wisniewski, Gang Liu, Philip Henson, Aditya Vaidyam , Narissa Hajratalli, Jukka-Pekka Onnela, John Torous. Understanding the quality, effectiveness and attributes of top-rated smartphone health apps. Evidence-based mental health, 2019. http://dx.doi.org/10.1136/ebmental-2018-300069

Popular Press

  1. Vaidyam A & Torous J. Chatbots: What Are They and Why Care?; In Psychiatric Times, June 2019.

Abstracts & Posters

  1. Aditya Vaidyam , Tony Wong, Anthony Bosshardt, Sid Limaye, John Squire, Kristy Lin, Rachel Spade, Shandra Jamieson, Chris Nelson, 2023. Student-Driven Engineering of Teaching Electronic Medical Records Systems for Clinical Simulation and Evaluation; In 23rd Annual Health Innovation Research Day, Urbana, IL. In Review.
  2. Aditya Vaidyam , Kamryn Abraskin, Ryan Monjazeb, Tarika Patel*, Chad Olson, Jessica Saw, 2023. MedTerms: Co-designing with CIMED Students to Build Medical Education Software; In International Association of Medical Science Educators 2024 Annual Conference, Minneapolis, MN. In Review.
  3. Aditya Vaidyam , Kamryn Abraskin, Ryan Monjazeb, Tarika Patel*, Chad Olson, Jessica Saw, 2023. MedTerms: Student Co-Design towards Engineering Effective Medical Education Software; In 23rd Annual Health Innovation Research Day, Urbana, IL. In Review.
  4. Aditya Vaidyam , Samuel Blake, Khirsen Corbins, Micah Silberstein, Sid Limaye, John Torous, 2023. The Evolving Landscape of AI in Mental Health: Exploring the Promise and Pitfalls of Large Language Models; In 23rd Annual Health Innovation Research Day, Urbana, IL. In Review.
  5. Samuel Blake, Anthony Wong, Aditya Vaidyam , 2023. Digital Healthcare Innovations to Improve and Customize Preoperative Screening and Postoperative Management; In 23rd Annual Health Innovation Research Day, Urbana, IL. In Review.
  6. Samuel Blake, Anthony Wong, Aditya Vaidyam , 2023. Outcomes Optimization in the Digital Health Era of Spine Surgery; In AANS Annual Meeting 2024, Chicago, IL. In Review.
  7. Aditya Vaidyam , Samuel Blake, Khirsen Corbins, Micah Silberstein, Sid Limaye, John Torous, 2023. The Evolving Landscape of AI in Mental Health: A Comprehensive Exploration of Large Language Models in Psychiatry; In American Psychiatry Association Annual Meeting 2024, New York, NY. In Review.
  8. Samuel Blake, Dennison Min, Aditya Vaidyam , Hyojung Kang, 2023. Spine Surgery Costs and Complications Correlate with Opioid Use, While Cannabis and Other Substances Remain Nebulous; In AANS Annual Meeting 2024, Chicago, IL. In Review.
  9. Samuel Blake, Dennison Min, Aditya Vaidyam , Hyojung Kang, 2023. Perioperative Prescription and Illicit Substance Use Profoundly Impacts Spine Surgery Outcomes; In AMA Research Challenge 2023, Virtual.
  10. Samuel Blake, Dennison Min, Aditya Vaidyam , Hyojung Kang, 2023. Quality Spine Surgery Outcomes for Vulnerable Populations Depend on Substance Use Screening and Conservative Medical Management; In UVA Innovations in Access to Care 2023, Charlottesville, VA.
  11. Aditya Vaidyam , Kamryn Abraskin, Ryan Monjazeb, Tarika Patel*, Chad Olson, Jessica Saw, 2023. MedTerms: Co-designing with CIMED Students to Build Medical Education Software; In 2nd Annual Carle Illinois College of Medicine Medical Education Experience (MEdX) Conference, Urbana, IL.
  12. Aditya Vaidyam , Tony Wong, Anthony Bosshardt, Sid Limaye, John Squire, Kristy Lin, Rachel Spade, Shandra Jamieson, Chris Nelson, 2023. A Teaching Electronic Medical Records System for Preclinical Students towards Clinical Simulation and Evaluation; In 2nd Annual Carle Illinois College of Medicine Medical Education Experience (MEdX) Conference, Urbana, IL.
  13. Aditya Vaidyam , Modan Goldman, Sindhu Parupalli, Holly Rosencranz, Japhia Ramkumar, 2023. Microbiomes Matter: The Path to Regenerative Systems of Farm, Food and Health in the Age of Climate Change; In 2023 UIUC Personalized Nutrition Innovation Day, Urbana, IL.
  14. Aditya Vaidyam , Samuel Blake, Khirsen Corbins, Micah Silberstein, Sid Limaye, John Torous, 2023. Chatbots in Mental Health Care: An Updated Systematic Review and Meta Analysis; In AMA Research Challenge 2023, Virtual. https://doi.org/10.48448/yd8g-k813
  15. Aditya Vaidyam , Samuel Blake, Khirsen Corbins, Micah Silberstein, Sid Limaye, John Torous, 2023. Conversational Agents in Psychiatry and Mental Health: An Updated Systematic Review and Meta Analysis with Discussion of GPT Transformers and Generative Artificial Intelligence; In Carle Foundation Day 2023, Urbana, IL.
  16. Modan Goldman, Aditya Vaidyam , Sindhu Parupalli, Jasia Steinmetz, Erin Meyer, Deborah Blood, Kelly Bloedorn, Davendra Ramkumar, Holly Rosencranz, Japhia Ramkumar, 2023. Food As Medicine in Medical Education: Regenerative Systems of Farm, Food, and Health; In Carle Illinois College of Medicine Discovery Learning Session, Urbana, IL. Awarded 2nd place prize.
  17. Aditya Vaidyam , Samuel Blake, Khirsen Corbins, Micah Silberstein, Sid Limaye, John Torous, 2023. Conversational Agents in Psychiatry and Mental Health: An Updated Systematic Review and Meta Analysis with Discussion of GPT Transformers and Generative Artificial Intelligence; In Carle Illinois College of Medicine Discovery Learning Session, Urbana, IL. Awarded 2nd place prize. http://dx.doi.org/10.13140/RG.2.2.35364.45448/1
  18. Tong B, Brown B, Vaidyam A, Gangidi S, Baskaran D, Pionke J, Gothe N. (April 2023). Exercise Interventions for Cognitive Symptoms in Serious Mental Illness: A Systematic Review. In Carle Illinois College of Medicine 21st Annual Health Innovation Research Day, Urbana, IL.
  19. Vaidyam A. & Torous J., 2022. mindLAMP: Digital Phenotyping Meets Digital Interventions; In 11th ISRII Scientific Meeting, Pittsburgh, PA.
  20. Vaidyam A. & Torous J., 2022. LAMP Platform: Research and Clinical Use of Digital Phenotyping with Patient-Generated Health Data. In Harvard Mysell Lectures.
  21. Vaidyam, A., Wisniewski H., Henson P., Hays R., Halamka J., Torous J., 2019. Assessment of Viability and Efficacy of Conversational Agents in the Diagnosis, Treatment, and Therapy of Individuals with Psychiatric Disorders. In Harvard Mysell Lectures.
  22. Vaidyam, A., Torous J., 2019. A Preliminary Review of the Role of Chatbots and Conversational Agents in Mental Health. In Annual Meeting of the American Psychiatric Association.
  23. Susheela, A., Alapati, A., Pearson, J., Torous, J., Kashkooli, K., Galliano, C., Beight, L., Delima, A., Vaidyam, A., James, T. and Shapiro, F., 2019. A monitored anesthesia care decision aid to improve patient understanding of anesthetic options for breast surgery. In 13th Annual New England Anesthesia Resident Research. Tufts Medical Center.
  24. Vaidyam, A., Batts, J. T., Chan, H., & Pelaez, N. (2017). Building bridges: Addressing real world problems with technology but without a protocol using design instruction in a physiology lab. The FASEB Journal, 31(1), 576.31. doi:10.1096/fasebj.31.1_supplement.576.31
  25. Vaidyam A., Khan I., Kihara D. (2015). Distributed Cluster Computing in Computational Proteomics. Poster session presented at the Purdue Undergraduate Research Symposium, West Lafayette, IN.

Experience

  • Co-Founder, mindLAMP Education and Research Organization (Nonprofit Foundation) — July 2022 to Current
    • I co-founded a nonprofit foundation to further the goals of the LAMP Platform and global LAMP Consortium towards my personal mission to make digital health tools accessible to all.
  • Assistant Director of Clinical Systems, Division of Digital Psychiatry at the Beth Israel Deaconess Medical Center — July 2018 to July 2022
    • I architect and lead a digital mental health platform for individuals with serious mental illness, used by 50+ major hospitals and community clinics around the world.
    • I investigate machine learning algorithms for illness onset detection and hospitalization prediction, and build just-in-time adaptive interventions for use in clinical decision support.
    • I spearhead equitable implementation by global healthcare systems of precision medicine frameworks and workflows for clinical teams to coordinate and engage with diverse populations.
    • I assembled and continue to direct a global consortium around our team’s digital medicine platform, working with industry representatives, hospitals, engineers, clinicians, and researchers, across China, India, Nepal, Denmark, and the US.
    • Most recently, the $150+ million NIH AMP Scz project has elected to use my work as a cornerstone of data collection and analysis towards better understanding schizophrenia and improving delivery of clinical care across 50+ major academic medical centers in the US and Australia.
    • I conducted comprehensive face-to-face clinical interviews and assessments for vulnerable patients with serious mental illness (schizophrenia, bipolar disorder, major depression) in urban Boston.
    • I facilitated and co-hosted patient advisory panels to promote discussion around how medical software could and should play a role in mental health, privacy and ethics concerns, and how to evolve the digital therapeutic alliance.
    • I connected patients with clinical research studies and social services that allow them to contribute to a greater scientific understanding of their own illness and lived experiences.
    • I developed new content and workshop materials collaboratively with the patients in our community around emerging digital mental health research, now adopted by THRESHOLDS in Chicago.
    • I co-developed and conducted a series of digital skills training in-person and virtual workshops for diverse groups of both patients in recovery services and their clinicians; hosted in mental health community centers spanning from urban Boston to now rural Indiana, as well as the in-patient psychiatry at Beth Israel Deaconess Medical Center.
    • I assisted in developing the American Psychiatry Association app evaluation model and mindApps database for mental health apps trusted by clinicians.
    • I co-hosted weekly virtual technology help office hours during the pandemic for clinicians at Harvard teaching hospitals.
  • Research Assistant, Purdue / Aryal Lab — May 2017 to August 2017
    • Developed and optimized an iTRAQ (biomarker) labeling method for quantitative proteomics.
    • Extracted and fractionated native endogenous protein complexes from type-2 diabetes samples and processed labeled samples in mass spectrometry for protein identification and relative abundance profiling.
    • Observed and documented dynamics of proteasome complexes in young and old adult mouse liver, to better understand possible origin or manifestation of diabetes in the liver by tracking protein complexes involved in prior-identified biochemical pathways.
  • Research Assistant, Purdue / Comer Lab — August 2015 to May 2017
    • Developed a GPIO driver solution for the XINU Operating System ("Xinu") on an Intel Quark SoC for IoT (Internet of Things, via ZigBee / 802.15.4) and IP stack capabilities.
    • Reimplemented the Xinu microkernel in the Mozilla Rust systems language for high performance, fault-safe and thread-safe concurrent embedded systems applications.
  • Teaching Intern, Purdue / Department of Biological Sciences — August 2015 to May 2017
    • Teaching instructor for lab sections of Human Design: Anatomy/Physiology I and II (BIOL 301, 302).
    • Proofread exams, graded lab documents, lectured 4 hours/week, and led hands-on labs (exercise physiology, biosignal measurement, urinalysis, dissection, etc). 
— Assisted in retrofitting curriculum with new technology such as iPads and new physiology instrument kits.
  • Research Assistant, Purdue / Kihara Lab — August 2014 to July 2017 
— Developed distributed computation systems for proteomics algorithms, optimizing and improving prediction quality for protein structure, function, biological relevance, and potential ligands and binding pockets for use in drug design.
    • Applied heterogenous computing principles to the Protein Function Prediction algorithm, in consort with adaptive prediction of most commonly requested proteomes during off-peak hours.
    • Developed front-end interfaces and distributed computational backend for LZerD and PL- PatchSurfer algorithms.

Extracurriculars

  • Chair, Central Indiana Section IEEE Engineering in Medicine and Biology Society — November 2022 to Current
    • Revitalized the professional committee by connecting academic faculty, industry professionals, and graduate students through social and professional development events.
    • Continuing mentorship of undergraduate students in the Purdue branch chapter by providing engineering or physiology lectures and workshops, as well as individualized career mentorship.
  • Technical Advisor, Purdue IEEE Engineering in Medicine and Biology Society — August 2015 to June 2017
    • Co-founded (2015) and co-chaired (2016) the Purdue chapter of IEEE EMBS, involved in on-campus activities with a focus on technical, professional, and social development.
    • Mentored and trained inexperienced students interested in the space of biomedical engineering in topics pertaining to the technical projects in EMBS.
    • Architected and led development of an open source biosignal measurement platform with electroencephalogram/electromyogram/electrocardiogram capability based on a low-cost TI ADS chipset.
    • Led a community project with the local no-kill dog shelter to 3D-print low cost personalized prosthetic limbs for dogs.
    • Architected and led the development of the MyDoctor platform for outpatient diagnostics and expedited care; maps the patient's natural speech to diagnostic keywords and representation in ICD10 and SNOMED-CT codes; automatically books appointment using circumstantial heuristics (local triaging) and the FHIR protocol.
    • Led team developing automated convolutional image analysis and patient diagnostics/metrics instruments.
  • President, Purdue IEEE — June 2016 to June 2017 
— Overhauled operational model emphasizing unity between members and expanded the organization's influence in the engineering department.
    • Expanded to 200+ active members and 1500+ total members representing many majors across campus at Purdue, and accelerated both recruitment and engagement by 20% through the year.
    • Led acquisition of ~$30,000 total sponsorship and merit award from academia and industry for our continued participation in international competitions.
    • Expanded outreach by partnering with Circle-K to teach introductory STEM lessons (Robotics, Biology, etc.) to children in local low-income communities.
    • Led and mentored in annual Code Cafe event teaching JavaScript and programming principles to members of the community.
    • Developed programming, introductory biology, and neuroscience curriculum for monthly workshops, and trained 15 first-time and returning mentors in material and how to mentor students.
    • Instituted award ceremony recognizing student achievement and growth, and reconnected with alumni from our rich 130+ year history.
    • Held daily office hours and connected members with faculty for career advice and research opportunities.

Projects

  • MyDoctor — February 2017 to August 2017
    • A conversational agent (“chatbot”) that helps make the process of visiting the doctor easier developed at HackIllinois 2017. Patients report symptoms in standard language which are then interpreted and matched as ICD-10 and SNOMED-CT codes, sent to their care provider. MyDoctor bridges the gap between patient and physician effectively as a local triage tool without faulty diagnosis, instead deferring the patient’s treatment plan to the physician.
  • Purdue IEEE Directory Services — January 2017 to May 2017
    • IEEE's DirectoryServices are a multipart API layer: an LDAP and Mailman REST API layer to support mailing list and profile read actions (currently only with Purdue's directory); a Directory API that manages members, their subscriptions and profiles; and an authentication layer that supports REST token-based stateless auth. DirectoryServices provides an auth-less user layer for other tools used internally.
  • BoilerBooks (v2.0) — January 2017 to July 2017
    • Co-developed and rewrote a financial tracking (expense reporting, reimbursement tracking, income & purchase approval facilitation, dues tracking, apparel sales) system for internal use by Purdue IEEE, including a REST API layer and ReactJS client SPA.
  • Groupr — January 2017 to March 2017
    • At Purdue, computer science students enroll in many courses that require teamwork to build software. The current method of forming groups involves the use of Piazza, a Q&A web service that is not primarily built for team building. Students can only view existing teams, as well as other students looking for teams, by relying on those people to post a comment. Groupr aims to solve this problem by allowing students to easily organize and communicate on one platform, built specifically for forming teams for classes at Purdue. Students will be able to see exactly which teams are looking for members, as well as everyone who is still looking.
  • Xinu in Rust — June 2015 to August 2017
    • A complete rewrite of the XINU kernel (developed by Prof. Doug Comer) in the experimental low-level systems language Rust (developed by the Mozilla Foundation).
  • Health365 — June 2015 to August 2017
    • Health365 is a mobile smartphone and wearable app, seamlessly integrating health and wellness into its users’ lives. There currently exist several mobile applications that can be used to track calories, record physical activity, measure sleep patterns, etc., but few applications have managed to incorporate these into a single cohesive and user-friendly experience with insight and fitness suggestions.
  • Parrot — August 2012 to August 2017
    • Parrot is a cross platform communication platform designed with a hardware-accelerated layered compositing framework UI, and scalable XMPP and REST backend supporting Windows, OS X, iOS, and Android.
  • Binoculars — August 2011 to June 2013, August 2014 to May 2017
    • Binoculars is backed by an extensible multi-core parallel processing architecture that allows for dynamic runtime extensions, and communication over multiple nodes in a distributed cluster or grid. Anything from simple classroom discussion boards to distributed Maya model rendering is possible. Heterogenous computing is made simple and user-friendly.

Education

  • Carle Illinois College of Medicine; Urbana, IL — M.D. Candidate, Expected May 2026
  • Boston University; Boston, MA — M.S. Medical Sciences, May 2019
  • Purdue University; West Lafayette, IN — B.S. Neurobiology & Physiology, May 2017
  • Purdue University; West Lafayette, IN — B.S. Computer Science — Systems Engineering, May 2017