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Saikat Pal

Pal, Saikat
Assistant Professor, Biomedical Engineering
111 Lock Street, CHEN 106

I am passionate about developing technology to improve the lives of patients and reducing our health care costs.

My career goal is aptly summarized by the following quote from Dr. Elias Zerhouni, a past Director of the National Institutes for Health - “There is an urgent need to change health and medicine from the curative and onerous paradigm of today to the vision of a more predictive, personalized, & preemptive world of health care.” (Science, 2006)

I am passionate about human movement and musculoskeletal disorders. I have worked on developing predictive and personalized methods for diagnosis of musculoskeletal disorders. I discovered new relationships between quadriceps muscle activation imbalance and joint malalignment in patients with knee pain and developed detailed computational models to study the underlying mechanisms.

I have deep training in computer aided design and analysis of next-generation medical devices. As part of my Ph.D. work, I developed computational algorithms for design phase evaluation of orthopaedic implants.

I am working on computational algorithms to analyze the terabytes of data we are generating every day in health care, often referred to as Big Data. These data will be instrumental in uncovering the mysteries of many diseases, streamlining treatment pathways, & shaping health policies in the 21st century.

I am a strong advocate for multidisciplinary teams. Working with experts from diverse backgrounds has enabled me to acquire a broad skill-set and play different roles – I am a researcher, teacher, design engineer, biomechanist, programmer, experimentalist, stats guru, manager, clinical coordinator, writer, presenter, and mentor.

My professional value boils down to impact. I am driven to make a positive impact in the lives of patients, design excellent biomedical devices, contribute to the body of knowledge, and train the next generation of engineers, researchers, and scientists.

Academic Appointments:

Assistant Professor, Biomedical Engineering
Assistant Professor (by courtesy), Electrical and Computer Engineering


  • Stanford University, Post Doc in Bioengineering, 2009
  • University of Denver, PhD in Mechanical Engineering, 2008
  • University of Denver, MS in Mechanical Engineering, 2004
  • University of Denver, BS in Computer Engineering, 2002

Awards and Honors:

  • The California State University Program for Education and Research in Biotechnology Travel Award, 2015.
  • Finalist for Young Investigator Award, XXIV Congress of International Society of Biomechanics, 2013 (co-authors Matt DeMers and Scott Delp).
  • Best Research Assistant Award, School of Engineering and Computer Science, University of Denver, 2006.
  • Runner up in the MS level student paper competition, ASME Summer Bioengineering Conference, 2005.
  • Alldredge Outstanding Engineer Award for excellence, 2002.
  • International Scholar’s Award, University of Denver, 1998-2002.
  • Gold Medalist, Air India Scholastic Award, All India Secondary School Examination (A.I.S.S.E), 1995.

Research Interests:

  • Decoding human movement using experiments and simulations
  • Orthopaedic biomechanics and design of implants

Grants and Funded Research:

09/2011 - 08/2012 Title: A Novel Imaging Technique to Acquire Joint Kinematics and Stress for Diagnosis of Knee Osteoarthritis
​ Funding: $21,500
Role: Principal Investigator
Source of support: Center for Biomedical Imaging at Stanford

09/2014 – 09/2015 Title: Develop subject-specific finite element models of the patellofemoral joint for participants with anterior knee pain and pain-free control participants
Funding: $86,328
Role: Principal Investigator
Source of support: Veterans Affairs

  1. Laz, P., Pal, S., Halloran, J., Petrella, A., and Rullkoetter, P., 2006, “Probabilistic Finite Element Prediction of Knee Wear Simulator Mechanics”, Journal of Biomechanics 39(12), 2303-2310.
  2. Laz, P., Pal, S., Fields, A., Petrella, A., and Rullkoetter, P., 2006, “Effect of Loading and Alignment Variability on Knee Simulator Mechanics: A Probabilistic Study”, Journal of Orthopaedic Research 24(12), 2212-2221.
  3. Easley, S., Pal, S., Tomasewski, P., Petrella, A., Rullkoetter, P., and Laz, P., 2007, “Finite Element-Based Probabilistic Analysis Tool with Orthopaedic Applications”, Computer Methods and Programs in Biomedicine 85(1), 32-40.
  4. Knight, L., Pal, S., Bronson, F., Haider, H., Coleman, J., Levine, D., Taylor, M., and Rullkoetter, P., 2007, “Comparison of Long-Term Numerical and Experimental Total Knee Replacement Wear during Simulated Gait Loading”, Journal of Biomechanics 40(7), 1550-1558.
  5. Morton, N., Maletsky, L., Pal, S., and Laz, P., 2007 “Effect of variability in anatomical landmark location on knee kinematic description”, Journal of Orthopaedic Research 25(9), 1221-1230.
  6. Pal, S., Langenderfer, J., Stowe, J., Laz, P., Petrella, A., and Rullkoetter, P., 2007 “Probabilistic Modeling of Knee Muscle Moment Arms: Effects of Method, Origin-Insertion and Kinematic Uncertainty”, Annals of Biomedical Engineering 35(9), 1632-1642.
  7. Pal, S., Haider, H., Laz, P., Knight, L., and Rullkoetter, P., 2008 “Probabilistic Computational Modeling of Total Knee Replacement Wear”, Wear 264(7-8), 701-707.
  8. Strickland, M., Arsene, C., Pal, S., Laz, P., and Taylor, M., 2010 “A Multi-Platform Comparison of Efficient Probabilistic Methods in the Prediction of Total Knee Replacement Mechanics”, Computer Methods in Biomechanics and Biomedical Engineering 13(6), 701-709.
  9. Pal, S., Mahfouz, M., Komistek, R., Walker, S., and Rullkoetter, P., 2011 “Comparison of In Vivo Tibiofemoral Contact Position Using Lowest Point & Full Contact Techniques”, International Journal of Biomedical Engineering and Technology 5(2-3), 229-246.
  10. Pal, S., Draper, C., Gold, G., Fredericson, M., Delp, S., Beaupre, G., and Besier, T., 2011 “Patellar maltracking correlates with vastus medialis activation delay in patellofemoral pain subjects”, American Journal of Sports Medicine 39(3), 590-598.
  11. Pal, S., Besier, T., Draper, C., Gold, G., Fredericson, M., Beaupre, G., and Delp, S., 2012 “Patellar tilt correlates with vastus lateralis:vastus medialis activation ratio in maltracking patellofemoral pain patients”, Journal of Orthopaedics Research 30(6), 927-933.
  12. Pal, S., Besier, T., Fredericson, M., Beaupre, G., Delp, S., and Gold, G., 2013 “Patellar maltracking is prevalent among patellofemoral pain subjects with patella alta: an upright, weightbearing MRI study”, Journal of Orthopaedic Research 31(3), 448-457.
  13. Keenan, K.*, Pal, S., Lindsey, D., Besier, T., and Beaupre, G., 2013 “A viscoelastic constitutive model can accurately represent entire creep indentation tests of human patella cartilage”, Journal of Applied Biomechanics 29(3), 292-302.
  14. Choi, J.*, Fahrig, R., Keil, A., Besier, T., Pal, S., McWalter, E., Maier, A., 2013 “Fiducial Marker-based Correction for Involuntary Motion in Weight-bearing C-arm CT scanning of Knees. Part 1: Numerical Model-based Optimization”, Medical Physics 40(9), 091905.
  15. DeMers, M.*, Pal, S., Delp, S., 2014 “Changes in tibiofemoral forces to variations in muscle activity during walking”, Journal of Orthopaedic Research 32(6), 769-776.
  16. Choi, J.*, Maier, A., Keil, A., Pal, S., McWalter, E., Beaupre, G., Gold, G., and Fahrig, R., 2014 “Fiducial Marker-based Correction for Involuntary Motion in Weight-bearing C-arm CT Scanning of Knees. Part II. Experiment”, Medical Physics 41(6), 061902.
  17. Wentland, A.*, McWalter, E., Pal, S., Delp, S., and Gold, G., 2015 “Muscle velocity and inertial force with phase contrast magnetic resonance imaging”, Journal of Magnetic Resonance Imaging 42(2), 526-32.
  18. Besier, T., Pal, S., Draper, C., Fredericson, M., Gold, G., Delp, S., and Beaupre, G., 2015 “The Role of Cartilage Stress in Patellofemoral Pain”, Medicine & Science in Sports & Exercise 47(11), 2416-22.